Stochastic fuzzy multi-objective backbone selection and capacity allocation problem under tax-band pricing policy with different fuzzy operators
In this paper, we investigate a multi-objective optimization problem that a telecom bandwidth broker (BB) faces when acquiring and selling bandwidth in an uncertain market environment in which there exists several backbone providers (BPs) and end users. The proposed model incorporates two important...
Uloženo v:
| Vydáno v: | Soft computing (Berlin, Germany) Ročník 21; číslo 14; s. 4085 - 4110 |
|---|---|
| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.07.2017
Springer Nature B.V |
| Témata: | |
| ISSN: | 1432-7643, 1433-7479 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In this paper, we investigate a multi-objective optimization problem that a telecom bandwidth broker (BB) faces when acquiring and selling bandwidth in an uncertain market environment in which there exists several backbone providers (BPs) and end users. The proposed model incorporates two important goals: maximizing expected profit and minimizing expected loss capacity within realistic constraints such as BPs’ capacity, meeting the end users’ bandwidth requests and satisfying the Quality of Service requests of end users’, considering stochastic capacity loss rates of BPs. The fuzzy set theory and stochastic programming techniques are employed to handle the non-deterministic nature of telecommunication network setting due to the presence of vagueness and randomness of information. The model is formulated in such a way that it simultaneously considers the randomness in demand and determines the allocation of end users’ bandwidth requests into purchased capacity based on tax-band pricing scheme. As solution strategies, two different fuzzy operators, namely max–min and weighted additive max–min, are integrated into a resulting two-stage multi-objective stochastic linear programming model. Then, algorithms are provided to solve and to compare methodologies with deterministic approaches. Finally, the proposed algorithms are tested on several randomly generated test scenarios to provide managerial insight to decision makers of BB companies. |
|---|---|
| AbstractList | In this paper, we investigate a multi-objective optimization problem that a telecom bandwidth broker (BB) faces when acquiring and selling bandwidth in an uncertain market environment in which there exists several backbone providers (BPs) and end users. The proposed model incorporates two important goals: maximizing expected profit and minimizing expected loss capacity within realistic constraints such as BPs’ capacity, meeting the end users’ bandwidth requests and satisfying the Quality of Service requests of end users’, considering stochastic capacity loss rates of BPs. The fuzzy set theory and stochastic programming techniques are employed to handle the non-deterministic nature of telecommunication network setting due to the presence of vagueness and randomness of information. The model is formulated in such a way that it simultaneously considers the randomness in demand and determines the allocation of end users’ bandwidth requests into purchased capacity based on tax-band pricing scheme. As solution strategies, two different fuzzy operators, namely max–min and weighted additive max–min, are integrated into a resulting two-stage multi-objective stochastic linear programming model. Then, algorithms are provided to solve and to compare methodologies with deterministic approaches. Finally, the proposed algorithms are tested on several randomly generated test scenarios to provide managerial insight to decision makers of BB companies. |
| Author | Turan, Hasan Hüseyin |
| Author_xml | – sequence: 1 givenname: Hasan Hüseyin surname: Turan fullname: Turan, Hasan Hüseyin email: hasan.turan@qu.edu.qa organization: Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University |
| BookMark | eNp9kMuKFDEUhoOM4MzoA7gLuI7mVpX0UgZvMODCcR1O5TKTtjopk5Ta8xQ-sunuAUFwVgmH_8t_8l2gs5STR-glo68ZpepNpXSglFA2Ek4HRcYn6JxJIYiSanN2vHOiRimeoYtat5RypgZxjn5_adneQW3R4rDe3-_xbp1bJHnaetviD48nsN-mXoarnw-jnDAkhy0sYGPbY5jnbOE4X0qeZr_Da3K-4Aa_yHSILiXamG7xkudo9_hnbHfYxRB88ak9tObFF2i51OfoaYC5-hcP5yX6-v7dzdVHcv35w6ert9fEinHTiNDSUy2dmqwHHcA6p8CFIUiQ0kkhmRuF5l4PmgmtAQbGp4HZCQIPSjhxiV6d3u1Lf199bWab15J6peEbpumoOdU9xU4pW3KtxQfTP7ODsjeMmoN4cxJvunhzEG_Gzqh_mO7pKKgViPOjJD-RtbekW1_-7vR_6A9C9Z3x |
| CitedBy_id | crossref_primary_10_1016_j_eswa_2022_116663 crossref_primary_10_1007_s00500_018_3553_7 |
| Cites_doi | 10.1016/j.ijpe.2010.02.003 10.1016/j.engappai.2014.10.010 10.1016/j.engappai.2009.03.004 10.1007/s11269-012-9996-1 10.1016/j.telpol.2008.04.005 10.1287/opre.48.4.535.12424 10.1016/j.engappai.2008.10.009 10.1016/j.ijpe.2013.04.030 10.1016/j.engappai.2011.04.004 10.1016/S0045-7949(99)00110-8 10.1016/j.ejor.2003.08.068 10.1016/0165-0114(87)90111-4 10.1016/j.energy.2011.06.058 10.1016/j.eswa.2010.11.064 10.1016/j.asoc.2014.08.014 10.1016/j.advwatres.2010.06.015 10.1016/j.agsy.2013.10.001 10.1016/j.comcom.2004.06.007 10.1016/j.eswa.2008.10.012 10.1023/A:1013394118863 10.1016/j.engappai.2012.03.013 10.1016/S0952-1976(04)00112-5 10.1016/j.cor.2007.02.003 10.1016/j.engappai.2005.12.001 10.1016/j.agwat.2010.07.005 10.1016/j.eswa.2010.07.154 10.1002/er.2885 10.1016/j.eswa.2010.11.086 10.1016/j.eswa.2010.06.071 10.1111/deci.12000 10.1016/j.eswa.2008.02.045 10.1080/00207721.2010.549581 10.1016/j.tele.2009.10.001 10.1007/s11269-007-9206-8 10.1016/j.telpol.2012.08.010 10.1016/j.ijpe.2007.02.040 10.1016/j.telpol.2013.03.007 10.1016/j.scitotenv.2009.09.050 10.1016/j.jenvman.2010.12.013 10.1016/j.engappai.2011.02.016 10.1016/j.pmcj.2010.10.003 10.1016/j.ijpe.2006.11.022 10.1016/j.ejor.2010.04.004 10.1016/j.dss.2010.05.009 10.1016/j.apm.2012.02.032 10.1080/00207543.2014.882525 10.1007/978-3-642-57949-3 10.1080/0305215031000097068 10.1287/inte.1040.0121 10.1016/j.ipl.2014.09.020 10.7551/mitpress/3867.003.0019 10.1016/S1389-1286(01)00187-6 10.1016/j.omega.2014.07.006 10.1007/s10479-008-0454-7 10.1016/j.apm.2013.05.057 10.1016/j.engappai.2011.10.012 10.1016/j.engappai.2012.04.006 10.1016/j.comnet.2005.10.014 10.1016/0165-0114(78)90031-3 10.1016/j.dss.2006.10.008 |
| ContentType | Journal Article |
| Copyright | Springer-Verlag Berlin Heidelberg 2016 Springer-Verlag Berlin Heidelberg 2016. |
| Copyright_xml | – notice: Springer-Verlag Berlin Heidelberg 2016 – notice: Springer-Verlag Berlin Heidelberg 2016. |
| DBID | AAYXX CITATION 8FE 8FG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI |
| DOI | 10.1007/s00500-016-2057-6 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central ProQuest Technology Collection ProQuest One Community College ProQuest Central ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Proquest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition |
| DatabaseTitle | CrossRef Advanced Technologies & Aerospace Collection Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Advanced Technologies & Aerospace Collection |
| Database_xml | – sequence: 1 dbid: P5Z name: Advanced Technologies & Aerospace Database url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science |
| EISSN | 1433-7479 |
| EndPage | 4110 |
| ExternalDocumentID | 10_1007_s00500_016_2057_6 |
| GeographicLocations | Qatar |
| GeographicLocations_xml | – name: Qatar |
| GroupedDBID | -5B -5G -BR -EM -Y2 -~C .86 .VR 06D 0R~ 0VY 1N0 1SB 203 29~ 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5VS 67Z 6NX 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BDATZ BENPR BGLVJ BGNMA BSONS CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EBLON EBS EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K7- KDC KOV LAS LLZTM M4Y MA- N2Q NB0 NPVJJ NQJWS NU0 O9- O93 O9J OAM P2P P9P PF0 PT4 PT5 QOS R89 R9I RIG RNI ROL RPX RSV RZK S16 S1Z S27 S3B SAP SDH SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7X Z7Y Z7Z Z81 Z83 Z88 ZMTXR AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG ADKFA AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 8FE 8FG AZQEC DWQXO GNUQQ JQ2 P62 PKEHL PQEST PQQKQ PQUKI |
| ID | FETCH-LOGICAL-c369t-384e084d7bcea8facdd7adf5f4a44d4341d6382e8581388aa512b51cbaf2f73d3 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000405500500020&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1432-7643 |
| IngestDate | Wed Nov 05 02:13:15 EST 2025 Sat Nov 29 03:35:44 EST 2025 Tue Nov 18 22:41:13 EST 2025 Fri Feb 21 02:39:30 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 14 |
| Keywords | Multi-objective stochastic programming Telecommunications Tax-band pricing scheme Fuzzy operators Quality of Service |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c369t-384e084d7bcea8facdd7adf5f4a44d4341d6382e8581388aa512b51cbaf2f73d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2918068208 |
| PQPubID | 2043697 |
| PageCount | 26 |
| ParticipantIDs | proquest_journals_2918068208 crossref_primary_10_1007_s00500_016_2057_6 crossref_citationtrail_10_1007_s00500_016_2057_6 springer_journals_10_1007_s00500_016_2057_6 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-07-01 |
| PublicationDateYYYYMMDD | 2017-07-01 |
| PublicationDate_xml | – month: 07 year: 2017 text: 2017-07-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Heidelberg |
| PublicationSubtitle | A Fusion of Foundations, Methodologies and Applications |
| PublicationTitle | Soft computing (Berlin, Germany) |
| PublicationTitleAbbrev | Soft Comput |
| PublicationYear | 2017 |
| Publisher | Springer Berlin Heidelberg Springer Nature B.V |
| Publisher_xml | – name: Springer Berlin Heidelberg – name: Springer Nature B.V |
| References | Pan W, Wang X, Zhong Y, Yu L, Jie C, Ran L, Qiao H, Wang S, Xianhao XX (2012) A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels. Int J Syst Sci 43:1054–1063 AmidAGhodsypourSHO’BrienCA weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chainInt J Prod Econ200912132333210.1016/j.ijpe.2007.02.040 TuranHHKasapNSavranHA bandwidth sourcing and task allocation model in telecommunications under stochastic qos guaranteesAppl Soft Comput2014241112112310.1016/j.asoc.2014.08.014 Guerrero-IbanezAContreras-CastilloJBarbaAReyesAA qos-based dynamic pricing approach for services provisioning in heterogeneous wireless access networksPerv Mobile Comput2011756958310.1016/j.pmcj.2010.10.003 KasapNSivrikayaBDursunDOptimal pricing strategies for capacity leasing based on time and volume usage in telecommunication networksDec Sci20134416119110.1111/deci.12000 MotoiIShinsukeSKenNSemantic analysis and classification method for customer enquiries in telecommunication servicesEng Appl Artif Intell2011241521153110.1016/j.engappai.2011.02.016 Gupta A, Stahl DO, Whinston AB (1997) Priority pricing of the integrated services networks. In: McKnight LW, Bailey JP (eds) Internet economics, 3 edn. The MIT Press, New York CricelliLGrimaldiMGhironNLThe competition among mobile network operators in the telecommunication supply chainInt J Prod Econ2011131222910.1016/j.ijpe.2010.02.003 Comer DE (2001) Computer networks and internets with internet applications, NJ. 3 edn. Prentice Hall, Upper Saddle River Chenn-JungHYi-TaCKai-WenHUsing particle swam optimization for qos in ad-hoc multicastEng Appl Artif Intell2009221188119310.1016/j.engappai.2009.03.004 ChaKCJunDBWilsonARParkYSManaging and modeling the price reduction effect in mobile telecommunications trafficTelecommun Policy20083246847910.1016/j.telpol.2008.04.005 YucelAGuneriAA weighted additive fuzzy programming approach for multi-criteria supplier selectionExp Syst Appl2011386281628610.1016/j.eswa.2010.11.086 YangBNgCTPricing problem in wireless telecommunication product and service bundlingEur J Oper Res2010207473480265946210.1016/j.ejor.2010.04.0041205.90168 KlundertJMKuipersJSpieksmaFCRWinkelsMSelecting telecommunication carriers to obtain volume discountsInterfaces20053512413210.1287/inte.1040.0121 ChenYFarleyTYeNQos requirements of network applications on the internetInf Knowl Syst Manag200445576 LiuLHuangGHLiuYFullerGAZengGMA fuzzy-stochastic robust programming model for regional air quality management under uncertaintyEng Optim200335177199205854810.1080/0305215031000097068 KahramanCEnginOKabakOKayaIInformation systems outsourcing decisions using a group decision-making approachEng Appl Artif Intell20092283284110.1016/j.engappai.2008.10.009 BabicZPericTMultiproduct vendor selection with volume discounts as the fuzzy multi-objective programming problemInt J Prod Res2014524315433110.1080/00207543.2014.882525 LuHWHuangGHZengGMMaqsoodIHeLAn inexact two-stage fuzzy-stochastic programming model for water resources managementWater Resour Manag200822991101610.1007/s11269-007-9206-8 HwangCLYoonKMultiple attribute decision making: methods and applications1987HeidelbergSpringer LiMWLiYPHuangGHAn interval-fuzzy two-stage stochastic programming model for planning carbon dioxide trading under uncertaintyEnergy2011365677568910.1016/j.energy.2011.06.058 HalehHHamidiAA fuzzy mcdm model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizonExp Syst Appl2011389076908310.1016/j.eswa.2010.11.064 SinghRBenyoucefLA consensus based group decision making methodology for strategic selection problems of supply chain coordinationEng Appl Artif Intell20132612213410.1016/j.engappai.2012.03.013 HarnoJImpact of 3g and beyond technology development and pricing on mobile data service provisioning, usage and diffusionTelemat Inf20102726928210.1016/j.tele.2009.10.001 MaoGA real time loss performance monitoring schemeComput Commun20062815016110.1016/j.comcom.2004.06.007 YiyuCAmitayuDNatarajanGQianWAnandSPricing-based strategies for autonomic control of web servers for time-varying request arrivalsEng Appl Artif Intell20041784185410.1016/S0952-1976(04)00112-5 Zimmermann HJ (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1:45–56 DugarCJainARajawatABhattacharyaSDynamic pricing of call rates: bayesian approachInf Process Lett2015115237242327931510.1016/j.ipl.2014.09.0201307.91080 KimBWParkJKoCYCost allocation of wcdma and wholesale pricing for mvoip and data servicesTelecommun Policy201337354710.1016/j.telpol.2012.08.010 Hong-ZhongHYing-KuiGXiaopingDAn interactive fuzzy multi-objective optimization method for engineering designEng Appl Artif Intell20061945146010.1016/j.engappai.2005.12.001 TuranHHKasapNSerarslanMNA fuzzy stochastic model for telecommunications bandwidth brokers under probabilistic qos measuresAppl Math Model2014381227312769810.1016/j.apm.2013.05.057 LiWLiYLiCHuangGAn inexact two-stage water management model for planning agricultural irrigation under uncertaintyAgric Water Manag2010971905191410.1016/j.agwat.2010.07.005 Zimmermann HJ (1993) Fuzzy set theory and its applications, 4th edn. Kluwer Academic Publishers, Boston TuranHHKasapNSerarslanMNSingle period profit maximization problem for intermediaries in telecommunication networks under stochastic bandwidth demandJ Multiple-Valued Logic Soft Comput201321287315 WangSHuangGHIdentifying optimal water resources allocation strategies through an interactive multi-stage stochastic fuzzy programming approachWater Resour Manag2012262015203810.1007/s11269-012-9996-1 MaqsoodIHuangGHYeomansJSAn interval-parameter fuzzy two-stage stochastic program for water resources management under uncertaintyEur J Oper Res2005167208225214870010.1016/j.ejor.2003.08.0681074.90541 TiwariRDharmahrSRaoJFuzzy goal programming—an additive modelFuzzy Sets Syst198724273490959910.1016/0165-0114(87)90111-40627.90073 ParisMConstantinosHA computational intelligence-based forecasting system for telecommunications time seriesEng Appl Artif Intell20122520020610.1016/j.engappai.2011.04.004 Soner KaraSSupplier selection with an integrated methodology in unknown environmentExp Syst Appl2011382133213910.1016/j.eswa.2010.07.154 BasuSChakrabortySSharmaMPricing cloud services-the impact of broadband qualityOmega2015509611410.1016/j.omega.2014.07.006 SamanHAJafarRAn integrated fuzzy model for supplier management: a case study of isp selection and evaluationExp Syst Appl2009368639864810.1016/j.eswa.2008.10.012 AminSRazmiJZhangGSupplier selection and order allocation based on fuzzy swot analysis and fuzzy linear programmingExp Syst Appl20113833434210.1016/j.eswa.2010.06.071 FaezFGhodsypourSO’BrienCVendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming modelInt J Prod Econ200912139540810.1016/j.ijpe.2006.11.022 CourcoubetisCKellyFWeberRMeasurement-based usage charges in communications networksOper Res20004853554810.1287/opre.48.4.535.12424 ÖnütSKaraSSIşıkELong term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication companyExp Syst Appl2009363887389510.1016/j.eswa.2008.02.045 Turan HH (2012) Profit maximization problem for intermediaries in telecommunications networks under stochastic demand. Ph.D. thesis, Istanbul Technical University. Istanbul, Turkey. In Turkish LiYLiuJHuangGA hybrid fuzzy-stochastic programming method for water trading within an agricultural systemAgricult Syst2014123718310.1016/j.agsy.2013.10.001 CoelloCChristiansenAMultiobjective optimization of trusses using genetic algorithmsComput Struct20007564766010.1016/S0045-7949(99)00110-8 Zhang X, Huang GH, Nie X (2009) Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertainty. Sci Total Environ 408:192–201 LaiYHwangCFuzzy multiple objective decision making, methods and applications1994BerlinSpringer10.1007/978-3-642-57949-30810.90138 HuangGHSae-LimNLiuLChenZAn interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planningEnviron Model Assessm2001627128310.1023/A:1013394118863 KasapNAytuşHErengüçSSProvider selection and task allocation issues in networks with different QoS levels and all you can send priciningDec Supp Syst20074337538910.1016/j.dss.2006.10.008 Alem DJ, Munari RA, Arenales MN, Ferreira PAV (2010) On the cutting stock problem under stochastic demand. Ann Oper Res 179:169–186 PanWYuLWangSWangXA fuzzy multi-objective model for provider selection in data communication services with different qos levelsInt J Prod Econ201414768969610.1016/j.ijpe.2013.04.030 LiPChenBFsilp: fuzzy-stochastic-interval linear programming for supporting municipal solid waste managementJ Environ Manag2011921198120910.1016/j.jenvman.2010.12.013 GuanYYangWOwenHBloughDMA pricing approach for bandwidth allocation in differentiated service networksComput Oper Res2008353769378610.1016/j.cor.2007.02.0031278.90073 Si-fengZFangLYu-taoQZheng-yiCJian-sheWImmune optimization algorithm for solving joint call admission control problem in next-generation wireless networkEng Appl Artif Intell2012251395140210.1016/j.engappai.2012.04.006 ChongwatpolJShardaRSnap: a DSS to analyze network service pricing for state networksDec Supp Syst20105034735910.1016/j.dss.2010.05.009 KasapNTektaş-SivrikayaBCapacity acquisition and task allocation with tax-band pricing in telecom networks (in turkish)İTÜ Dergisi20109314 SahebjamniaNTorabiSAA fuzzy stochastic programming approach to solve the capacitated lot size problem under uncertaintyIEEE international conference on fuzzy systems2011TaiwanTaipei23272334 RamezaniMBashiriMTavakkoli-MoghaddamRA new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality levelAppl Math Model201337328344299418510.1016/j.apm.2012.02.03213 L Cricelli (2057_CR16) 2011; 131 L Wei (2057_CR62) 2015; 38 2057_CR68 Y Li (2057_CR39) 2014; 123 H Hong-Zhong (2057_CR25) 2006; 19 2057_CR1 M Paris (2057_CR49) 2012; 25 N Kasap (2057_CR31) 2010; 9 N Kasap (2057_CR29) 2007; 43 C Dugar (2057_CR17) 2015; 115 2057_CR67 2057_CR22 2057_CR66 Y Guan (2057_CR19) 2008; 35 Z Si-feng (2057_CR53) 2012; 25 2057_CR14 2057_CR57 YP Li (2057_CR40) 2013; 37 R Tiwari (2057_CR56) 1987; 24 Y Chen (2057_CR10) 2004; 4 S Basu (2057_CR7) 2015; 50 Y Li (2057_CR38) 2010; 33 C Coello (2057_CR13) 2000; 75 M Ramezani (2057_CR50) 2013; 37 S Wang (2057_CR61) 2012; 26 GH Huang (2057_CR26) 2001; 6 N Kasap (2057_CR30) 2013; 44 H Chenn-Jung (2057_CR11) 2009; 22 I Maqsood (2057_CR44) 2005; 167 N Sahebjamnia (2057_CR51) 2011 A Zouggari (2057_CR69) 2012; 25 S Amin (2057_CR4) 2011; 38 Z Babic (2057_CR5) 2014; 52 KC Cha (2057_CR9) 2008; 32 HA Saman (2057_CR52) 2009; 36 2057_CR47 W Pan (2057_CR48) 2014; 147 S Önüt (2057_CR46) 2009; 36 G Mao (2057_CR43) 2006; 28 S Soner Kara (2057_CR55) 2011; 38 H Haleh (2057_CR23) 2011; 38 CL Hwang (2057_CR27) 1987 BW Kim (2057_CR32) 2013; 37 AA Basaran (2057_CR6) 2014; 38 P Li (2057_CR36) 2011; 92 MW Li (2057_CR35) 2011; 36 Y Lai (2057_CR34) 1994 HH Turan (2057_CR60) 2014; 38 HH Turan (2057_CR58) 2014; 24 A Amid (2057_CR3) 2009; 121 W Li (2057_CR37) 2010; 97 R Singh (2057_CR54) 2013; 26 C Yiyu (2057_CR64) 2004; 17 HH Turan (2057_CR59) 2013; 21 F Faez (2057_CR18) 2009; 121 L Liu (2057_CR41) 2003; 35 I Motoi (2057_CR45) 2011; 24 C Kahraman (2057_CR28) 2009; 22 A Yucel (2057_CR65) 2011; 38 RJ Birge (2057_CR8) 1997 J Harno (2057_CR24) 2010; 27 J Chongwatpol (2057_CR12) 2010; 50 B Yang (2057_CR63) 2010; 207 HW Lu (2057_CR42) 2008; 22 J Altmann (2057_CR2) 2001; 36 C Courcoubetis (2057_CR15) 2000; 48 A Guerrero-Ibanez (2057_CR20) 2011; 7 A Gupta (2057_CR21) 2006; 50 JM Klundert (2057_CR33) 2005; 35 |
| References_xml | – reference: BasuSChakrabortySSharmaMPricing cloud services-the impact of broadband qualityOmega2015509611410.1016/j.omega.2014.07.006 – reference: RamezaniMBashiriMTavakkoli-MoghaddamRA new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality levelAppl Math Model201337328344299418510.1016/j.apm.2012.02.0321349.90123 – reference: GuptaAKalyanaramanSZhangLPricing of risk for loss guaranteed intra-domain internet service contractsComput Netw2006502787280410.1016/j.comnet.2005.10.014 – reference: Zhang X, Huang GH, Nie X (2009) Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertainty. Sci Total Environ 408:192–201 – reference: ChaKCJunDBWilsonARParkYSManaging and modeling the price reduction effect in mobile telecommunications trafficTelecommun Policy20083246847910.1016/j.telpol.2008.04.005 – reference: KlundertJMKuipersJSpieksmaFCRWinkelsMSelecting telecommunication carriers to obtain volume discountsInterfaces20053512413210.1287/inte.1040.0121 – reference: LiYHuangGNieSPlanning water resources management systems using a fuzzy-boundary interval-stochastic programming methodAdv Water Res2010331105111710.1016/j.advwatres.2010.06.015 – reference: MaqsoodIHuangGHYeomansJSAn interval-parameter fuzzy two-stage stochastic program for water resources management under uncertaintyEur J Oper Res2005167208225214870010.1016/j.ejor.2003.08.0681074.90541 – reference: MaoGA real time loss performance monitoring schemeComput Commun20062815016110.1016/j.comcom.2004.06.007 – reference: SinghRBenyoucefLA consensus based group decision making methodology for strategic selection problems of supply chain coordinationEng Appl Artif Intell20132612213410.1016/j.engappai.2012.03.013 – reference: LiPChenBFsilp: fuzzy-stochastic-interval linear programming for supporting municipal solid waste managementJ Environ Manag2011921198120910.1016/j.jenvman.2010.12.013 – reference: ChongwatpolJShardaRSnap: a DSS to analyze network service pricing for state networksDec Supp Syst20105034735910.1016/j.dss.2010.05.009 – reference: TuranHHKasapNSerarslanMNSingle period profit maximization problem for intermediaries in telecommunication networks under stochastic bandwidth demandJ Multiple-Valued Logic Soft Comput201321287315 – reference: CricelliLGrimaldiMGhironNLThe competition among mobile network operators in the telecommunication supply chainInt J Prod Econ2011131222910.1016/j.ijpe.2010.02.003 – reference: YangBNgCTPricing problem in wireless telecommunication product and service bundlingEur J Oper Res2010207473480265946210.1016/j.ejor.2010.04.0041205.90168 – reference: LaiYHwangCFuzzy multiple objective decision making, methods and applications1994BerlinSpringer10.1007/978-3-642-57949-30810.90138 – reference: LiMWLiYPHuangGHAn interval-fuzzy two-stage stochastic programming model for planning carbon dioxide trading under uncertaintyEnergy2011365677568910.1016/j.energy.2011.06.058 – reference: YiyuCAmitayuDNatarajanGQianWAnandSPricing-based strategies for autonomic control of web servers for time-varying request arrivalsEng Appl Artif Intell20041784185410.1016/S0952-1976(04)00112-5 – reference: Si-fengZFangLYu-taoQZheng-yiCJian-sheWImmune optimization algorithm for solving joint call admission control problem in next-generation wireless networkEng Appl Artif Intell2012251395140210.1016/j.engappai.2012.04.006 – reference: YucelAGuneriAA weighted additive fuzzy programming approach for multi-criteria supplier selectionExp Syst Appl2011386281628610.1016/j.eswa.2010.11.086 – reference: BasaranAACetinkayaMBagdadiogluNOperator choice in the mobile telecommunications market: evidence from turkish urban populationTelecommun Policy20143811310.1016/j.telpol.2013.03.007 – reference: AltmannJChuKHow to charge for network services—flat rate or usage-based?Comput Netw20013651953110.1016/S1389-1286(01)00187-6 – reference: ÖnütSKaraSSIşıkELong term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication companyExp Syst Appl2009363887389510.1016/j.eswa.2008.02.045 – reference: AminSRazmiJZhangGSupplier selection and order allocation based on fuzzy swot analysis and fuzzy linear programmingExp Syst Appl20113833434210.1016/j.eswa.2010.06.071 – reference: KimBWParkJKoCYCost allocation of wcdma and wholesale pricing for mvoip and data servicesTelecommun Policy201337354710.1016/j.telpol.2012.08.010 – reference: GuanYYangWOwenHBloughDMA pricing approach for bandwidth allocation in differentiated service networksComput Oper Res2008353769378610.1016/j.cor.2007.02.0031278.90073 – reference: TuranHHKasapNSerarslanMNA fuzzy stochastic model for telecommunications bandwidth brokers under probabilistic qos measuresAppl Math Model2014381227312769810.1016/j.apm.2013.05.057 – reference: Zimmermann HJ (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1:45–56 – reference: LiWLiYLiCHuangGAn inexact two-stage water management model for planning agricultural irrigation under uncertaintyAgric Water Manag2010971905191410.1016/j.agwat.2010.07.005 – reference: BabicZPericTMultiproduct vendor selection with volume discounts as the fuzzy multi-objective programming problemInt J Prod Res2014524315433110.1080/00207543.2014.882525 – reference: WangSHuangGHIdentifying optimal water resources allocation strategies through an interactive multi-stage stochastic fuzzy programming approachWater Resour Manag2012262015203810.1007/s11269-012-9996-1 – reference: KasapNTektaş-SivrikayaBCapacity acquisition and task allocation with tax-band pricing in telecom networks (in turkish)İTÜ Dergisi20109314 – reference: PanWYuLWangSWangXA fuzzy multi-objective model for provider selection in data communication services with different qos levelsInt J Prod Econ201414768969610.1016/j.ijpe.2013.04.030 – reference: Zimmermann HJ (1993) Fuzzy set theory and its applications, 4th edn. Kluwer Academic Publishers, Boston – reference: KasapNAytuşHErengüçSSProvider selection and task allocation issues in networks with different QoS levels and all you can send priciningDec Supp Syst20074337538910.1016/j.dss.2006.10.008 – reference: ZouggariABenyoucefLSimulation based fuzzy topsis approach for group multi-criteria supplier selection problemEng Appl Artif Intell20122550751910.1016/j.engappai.2011.10.012 – reference: AmidAGhodsypourSHO’BrienCA weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chainInt J Prod Econ200912132333210.1016/j.ijpe.2007.02.040 – reference: LiYPHuangGHA stochastic-fuzzy programming model with soften constraints for electricity generation planning with greenhouse-gas abatementInt J Energy Res20133784385610.1002/er.2885 – reference: HalehHHamidiAA fuzzy mcdm model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizonExp Syst Appl2011389076908310.1016/j.eswa.2010.11.064 – reference: Alem DJ, Munari RA, Arenales MN, Ferreira PAV (2010) On the cutting stock problem under stochastic demand. Ann Oper Res 179:169–186 – reference: SahebjamniaNTorabiSAA fuzzy stochastic programming approach to solve the capacitated lot size problem under uncertaintyIEEE international conference on fuzzy systems2011TaiwanTaipei23272334 – reference: Chenn-JungHYi-TaCKai-WenHUsing particle swam optimization for qos in ad-hoc multicastEng Appl Artif Intell2009221188119310.1016/j.engappai.2009.03.004 – reference: KahramanCEnginOKabakOKayaIInformation systems outsourcing decisions using a group decision-making approachEng Appl Artif Intell20092283284110.1016/j.engappai.2008.10.009 – reference: BirgeRJLouveauxFIntroduction to stochastic programming1997New YorkSpringer0892.90142 – reference: CoelloCChristiansenAMultiobjective optimization of trusses using genetic algorithmsComput Struct20007564766010.1016/S0045-7949(99)00110-8 – reference: HarnoJImpact of 3g and beyond technology development and pricing on mobile data service provisioning, usage and diffusionTelemat Inf20102726928210.1016/j.tele.2009.10.001 – reference: CourcoubetisCKellyFWeberRMeasurement-based usage charges in communications networksOper Res20004853554810.1287/opre.48.4.535.12424 – reference: ChenYFarleyTYeNQos requirements of network applications on the internetInf Knowl Syst Manag200445576 – reference: LuHWHuangGHZengGMMaqsoodIHeLAn inexact two-stage fuzzy-stochastic programming model for water resources managementWater Resour Manag200822991101610.1007/s11269-007-9206-8 – reference: DugarCJainARajawatABhattacharyaSDynamic pricing of call rates: bayesian approachInf Process Lett2015115237242327931510.1016/j.ipl.2014.09.0201307.91080 – reference: ParisMConstantinosHA computational intelligence-based forecasting system for telecommunications time seriesEng Appl Artif Intell20122520020610.1016/j.engappai.2011.04.004 – reference: SamanHAJafarRAn integrated fuzzy model for supplier management: a case study of isp selection and evaluationExp Syst Appl2009368639864810.1016/j.eswa.2008.10.012 – reference: FaezFGhodsypourSO’BrienCVendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming modelInt J Prod Econ200912139540810.1016/j.ijpe.2006.11.022 – reference: Soner KaraSSupplier selection with an integrated methodology in unknown environmentExp Syst Appl2011382133213910.1016/j.eswa.2010.07.154 – reference: Pan W, Wang X, Zhong Y, Yu L, Jie C, Ran L, Qiao H, Wang S, Xianhao XX (2012) A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels. Int J Syst Sci 43:1054–1063 – reference: TuranHHKasapNSavranHA bandwidth sourcing and task allocation model in telecommunications under stochastic qos guaranteesAppl Soft Comput2014241112112310.1016/j.asoc.2014.08.014 – reference: Hong-ZhongHYing-KuiGXiaopingDAn interactive fuzzy multi-objective optimization method for engineering designEng Appl Artif Intell20061945146010.1016/j.engappai.2005.12.001 – reference: MotoiIShinsukeSKenNSemantic analysis and classification method for customer enquiries in telecommunication servicesEng Appl Artif Intell2011241521153110.1016/j.engappai.2011.02.016 – reference: Guerrero-IbanezAContreras-CastilloJBarbaAReyesAA qos-based dynamic pricing approach for services provisioning in heterogeneous wireless access networksPerv Mobile Comput2011756958310.1016/j.pmcj.2010.10.003 – reference: KasapNSivrikayaBDursunDOptimal pricing strategies for capacity leasing based on time and volume usage in telecommunication networksDec Sci20134416119110.1111/deci.12000 – reference: Comer DE (2001) Computer networks and internets with internet applications, NJ. 3 edn. Prentice Hall, Upper Saddle River – reference: HwangCLYoonKMultiple attribute decision making: methods and applications1987HeidelbergSpringer – reference: LiuLHuangGHLiuYFullerGAZengGMA fuzzy-stochastic robust programming model for regional air quality management under uncertaintyEng Optim200335177199205854810.1080/0305215031000097068 – reference: LiYLiuJHuangGA hybrid fuzzy-stochastic programming method for water trading within an agricultural systemAgricult Syst2014123718310.1016/j.agsy.2013.10.001 – reference: Turan HH (2012) Profit maximization problem for intermediaries in telecommunications networks under stochastic demand. Ph.D. thesis, Istanbul Technical University. Istanbul, Turkey. In Turkish – reference: Gupta A, Stahl DO, Whinston AB (1997) Priority pricing of the integrated services networks. In: McKnight LW, Bailey JP (eds) Internet economics, 3 edn. The MIT Press, New York – reference: HuangGHSae-LimNLiuLChenZAn interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planningEnviron Model Assessm2001627128310.1023/A:1013394118863 – reference: WeiLJianweiYYingLZhaohuiWEfficient web service qos prediction using local neighborhood matrix factorizationEng Appl Artif Intell201538142310.1016/j.engappai.2014.10.010 – reference: TiwariRDharmahrSRaoJFuzzy goal programming—an additive modelFuzzy Sets Syst198724273490959910.1016/0165-0114(87)90111-40627.90073 – volume: 131 start-page: 22 year: 2011 ident: 2057_CR16 publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2010.02.003 – start-page: 2327 volume-title: IEEE international conference on fuzzy systems year: 2011 ident: 2057_CR51 – volume: 38 start-page: 14 year: 2015 ident: 2057_CR62 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2014.10.010 – volume: 22 start-page: 1188 year: 2009 ident: 2057_CR11 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2009.03.004 – volume: 26 start-page: 2015 year: 2012 ident: 2057_CR61 publication-title: Water Resour Manag doi: 10.1007/s11269-012-9996-1 – volume: 32 start-page: 468 year: 2008 ident: 2057_CR9 publication-title: Telecommun Policy doi: 10.1016/j.telpol.2008.04.005 – volume: 48 start-page: 535 year: 2000 ident: 2057_CR15 publication-title: Oper Res doi: 10.1287/opre.48.4.535.12424 – volume: 22 start-page: 832 year: 2009 ident: 2057_CR28 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2008.10.009 – volume: 147 start-page: 689 year: 2014 ident: 2057_CR48 publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2013.04.030 – volume: 25 start-page: 200 year: 2012 ident: 2057_CR49 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2011.04.004 – ident: 2057_CR14 – volume: 75 start-page: 647 year: 2000 ident: 2057_CR13 publication-title: Comput Struct doi: 10.1016/S0045-7949(99)00110-8 – volume: 167 start-page: 208 year: 2005 ident: 2057_CR44 publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2003.08.068 – volume: 24 start-page: 27 year: 1987 ident: 2057_CR56 publication-title: Fuzzy Sets Syst doi: 10.1016/0165-0114(87)90111-4 – volume: 36 start-page: 5677 year: 2011 ident: 2057_CR35 publication-title: Energy doi: 10.1016/j.energy.2011.06.058 – volume: 4 start-page: 55 year: 2004 ident: 2057_CR10 publication-title: Inf Knowl Syst Manag – volume: 38 start-page: 9076 year: 2011 ident: 2057_CR23 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2010.11.064 – volume: 24 start-page: 1112 year: 2014 ident: 2057_CR58 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2014.08.014 – volume: 33 start-page: 1105 year: 2010 ident: 2057_CR38 publication-title: Adv Water Res doi: 10.1016/j.advwatres.2010.06.015 – volume: 123 start-page: 71 year: 2014 ident: 2057_CR39 publication-title: Agricult Syst doi: 10.1016/j.agsy.2013.10.001 – volume: 28 start-page: 150 year: 2006 ident: 2057_CR43 publication-title: Comput Commun doi: 10.1016/j.comcom.2004.06.007 – volume: 36 start-page: 8639 year: 2009 ident: 2057_CR52 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2008.10.012 – volume: 6 start-page: 271 year: 2001 ident: 2057_CR26 publication-title: Environ Model Assessm doi: 10.1023/A:1013394118863 – volume: 26 start-page: 122 year: 2013 ident: 2057_CR54 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2012.03.013 – volume: 17 start-page: 841 year: 2004 ident: 2057_CR64 publication-title: Eng Appl Artif Intell doi: 10.1016/S0952-1976(04)00112-5 – volume: 35 start-page: 3769 year: 2008 ident: 2057_CR19 publication-title: Comput Oper Res doi: 10.1016/j.cor.2007.02.003 – volume: 19 start-page: 451 year: 2006 ident: 2057_CR25 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2005.12.001 – volume: 97 start-page: 1905 year: 2010 ident: 2057_CR37 publication-title: Agric Water Manag doi: 10.1016/j.agwat.2010.07.005 – volume: 38 start-page: 2133 year: 2011 ident: 2057_CR55 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2010.07.154 – volume: 37 start-page: 843 year: 2013 ident: 2057_CR40 publication-title: Int J Energy Res doi: 10.1002/er.2885 – volume: 38 start-page: 6281 year: 2011 ident: 2057_CR65 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2010.11.086 – volume: 38 start-page: 334 year: 2011 ident: 2057_CR4 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2010.06.071 – volume: 44 start-page: 161 year: 2013 ident: 2057_CR30 publication-title: Dec Sci doi: 10.1111/deci.12000 – volume: 9 start-page: 3 year: 2010 ident: 2057_CR31 publication-title: İTÜ Dergisi – volume: 36 start-page: 3887 year: 2009 ident: 2057_CR46 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2008.02.045 – ident: 2057_CR47 doi: 10.1080/00207721.2010.549581 – volume: 27 start-page: 269 year: 2010 ident: 2057_CR24 publication-title: Telemat Inf doi: 10.1016/j.tele.2009.10.001 – volume: 22 start-page: 991 year: 2008 ident: 2057_CR42 publication-title: Water Resour Manag doi: 10.1007/s11269-007-9206-8 – volume: 37 start-page: 35 year: 2013 ident: 2057_CR32 publication-title: Telecommun Policy doi: 10.1016/j.telpol.2012.08.010 – volume: 121 start-page: 323 year: 2009 ident: 2057_CR3 publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2007.02.040 – volume: 38 start-page: 1 year: 2014 ident: 2057_CR6 publication-title: Telecommun Policy doi: 10.1016/j.telpol.2013.03.007 – ident: 2057_CR68 – ident: 2057_CR66 doi: 10.1016/j.scitotenv.2009.09.050 – volume: 92 start-page: 1198 year: 2011 ident: 2057_CR36 publication-title: J Environ Manag doi: 10.1016/j.jenvman.2010.12.013 – volume: 24 start-page: 1521 year: 2011 ident: 2057_CR45 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2011.02.016 – volume: 7 start-page: 569 year: 2011 ident: 2057_CR20 publication-title: Perv Mobile Comput doi: 10.1016/j.pmcj.2010.10.003 – ident: 2057_CR57 – volume: 121 start-page: 395 year: 2009 ident: 2057_CR18 publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2006.11.022 – volume: 207 start-page: 473 year: 2010 ident: 2057_CR63 publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2010.04.004 – volume: 50 start-page: 347 year: 2010 ident: 2057_CR12 publication-title: Dec Supp Syst doi: 10.1016/j.dss.2010.05.009 – volume: 37 start-page: 328 year: 2013 ident: 2057_CR50 publication-title: Appl Math Model doi: 10.1016/j.apm.2012.02.032 – volume: 52 start-page: 4315 year: 2014 ident: 2057_CR5 publication-title: Int J Prod Res doi: 10.1080/00207543.2014.882525 – volume-title: Fuzzy multiple objective decision making, methods and applications year: 1994 ident: 2057_CR34 doi: 10.1007/978-3-642-57949-3 – volume: 35 start-page: 177 year: 2003 ident: 2057_CR41 publication-title: Eng Optim doi: 10.1080/0305215031000097068 – volume: 35 start-page: 124 year: 2005 ident: 2057_CR33 publication-title: Interfaces doi: 10.1287/inte.1040.0121 – volume: 21 start-page: 287 year: 2013 ident: 2057_CR59 publication-title: J Multiple-Valued Logic Soft Comput – volume: 115 start-page: 237 year: 2015 ident: 2057_CR17 publication-title: Inf Process Lett doi: 10.1016/j.ipl.2014.09.020 – ident: 2057_CR22 doi: 10.7551/mitpress/3867.003.0019 – volume: 36 start-page: 519 year: 2001 ident: 2057_CR2 publication-title: Comput Netw doi: 10.1016/S1389-1286(01)00187-6 – volume: 50 start-page: 96 year: 2015 ident: 2057_CR7 publication-title: Omega doi: 10.1016/j.omega.2014.07.006 – ident: 2057_CR1 doi: 10.1007/s10479-008-0454-7 – volume: 38 start-page: 12 year: 2014 ident: 2057_CR60 publication-title: Appl Math Model doi: 10.1016/j.apm.2013.05.057 – volume: 25 start-page: 507 year: 2012 ident: 2057_CR69 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2011.10.012 – volume-title: Introduction to stochastic programming year: 1997 ident: 2057_CR8 – volume: 25 start-page: 1395 year: 2012 ident: 2057_CR53 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2012.04.006 – volume: 50 start-page: 2787 year: 2006 ident: 2057_CR21 publication-title: Comput Netw doi: 10.1016/j.comnet.2005.10.014 – ident: 2057_CR67 doi: 10.1016/0165-0114(78)90031-3 – volume: 43 start-page: 375 year: 2007 ident: 2057_CR29 publication-title: Dec Supp Syst doi: 10.1016/j.dss.2006.10.008 – volume-title: Multiple attribute decision making: methods and applications year: 1987 ident: 2057_CR27 |
| SSID | ssj0021753 |
| Score | 2.1385183 |
| Snippet | In this paper, we investigate a multi-objective optimization problem that a telecom bandwidth broker (BB) faces when acquiring and selling bandwidth in an... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 4085 |
| SubjectTerms | Algorithms Artificial Intelligence Bandwidths Communications networks Computational Intelligence Control Customer services End users Engineering Fuzzy set theory Fuzzy sets Infrastructure Internet service providers Linear programming Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Operators (mathematics) Prices Pricing Pricing policies Profits Quality of service Random variables Randomness Robotics Stochastic programming Strategic planning User satisfaction Video teleconferencing |
| SummonAdditionalLinks | – databaseName: SpringerLINK Contemporary 1997-Present dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB4V2gMcSnmpy6PygROVpU3iJM4RVSBOqNLSam-RPbbFS7urTRYVfgU_mbHXWWgFleAcx68Zez57xt8AHBiJSolMcIfScFEI2gezouAZyooMkCap65Bsojw7k8Nh9TO-4266aPfOJRl26sVjN09V4oOoCpJsXvJiCT7mnmzGH9EHvxenrEg9STiAoCPZ286V-VIVfxujJ4T5j1M02JqTtXf18gt8jtCSHc11YR0-2NEGrHVpG1hcxRuw-oyDcBMeBu0YL5Sna2Zudn9_x0KMIR_rq_leyLTCaz0eWdaEnDkkSKZGhiGZWSQMz7zrfn7xx2J6GuZfpk1Zq_5w7YvSEJAaY5NAQsz83S_rMrO0sdXxxAaPf7MFv06Oz3-c8pimgWNWVC3PpLB9KUyp0SrpFBpTKuNyJ5QQhvQgMbTIUytzmWRSKkUYQ-cJauVSV2Ym24blEY3iKzBDAtVYpUhIQpTWVaUuERPX11YTDqp60O_kVWPkMPepNG7qBftymP_ax635-a-LHhwufpnMCTz-V3ivU4I6ruWmTqtE9gtCSrIH3zuhP31-tbKdN5XehZXUI4YQCbwHy-10ZvfhE962l830W1DxRw2w-Q8 priority: 102 providerName: Springer Nature |
| Title | Stochastic fuzzy multi-objective backbone selection and capacity allocation problem under tax-band pricing policy with different fuzzy operators |
| URI | https://link.springer.com/article/10.1007/s00500-016-2057-6 https://www.proquest.com/docview/2918068208 |
| Volume | 21 |
| WOSCitedRecordID | wos000405500500020&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1433-7479 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0021753 issn: 1432-7643 databaseCode: P5Z dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1433-7479 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0021753 issn: 1432-7643 databaseCode: K7- dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1433-7479 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0021753 issn: 1432-7643 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1433-7479 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0021753 issn: 1432-7643 databaseCode: RSV dateStart: 19970401 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7RlgMXylMsLZUPnEAWeTixc6oAtUJCWq1aQBWXyB7booA2yyZF0F_Rn9yx19kVSPTCJZc4TqwZz3yZGc8H8Nwq1FqUgntUlotakB0s65qXqBpyQIakbiLZhJxO1dlZM0sBtz6VVY42MRpq22GIkb8qmlxlNfkrdbj4wQNrVMiuJgqNLdgJncpIz3feHE1nJ-tfrtSHkkAB4UhyvmNeM4ttRKtwqjqvSVMqyes_PdMGbv6VIY2O53j3fz_5HtxNkJO9XunIfbjl5g9gd6RzYGl3P4Sr06HDLzo0bmb-4vLyN4vVhrwzX1dWkRmN30w3d6yP7DkkUqbnliE5XCQ0z0ISfxUCZImohoUzaks26F_chKG0RqRVskVsR8xCFJiNHC1Demu3cDH33z-Cj8dHH96-44mwgWNZNwMvlXCZElYadFp5jdZKbX3lhRbCkkbklrZ74VSl8lIprQltmCpHo33hZWnLx7A9p1U8AWYJyBhsCiRMIaTzjTQSMfeZcYYQUTOBbBRWi6mbeSDV-N6u-zBH-bahgi3It60n8GL9yGLVyuOmwfujTNu0q_t2I9AJvBy1YnP7n5M9vXmyPbhTBLAQi4D3YXtYXrhncBt_Duf98iCp9AFsvZecrrPqM11PTj9dA3QqA5A |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VLRJcKK-KhQI-wAVkkYeTOAeEeLRq1bKqoEi9BXvsiEe12W5SoP0V_BJ-I2PH2RVI9NYD5zhOMv4y89kezwfwyEhUSqSC1ygNF7kgP5jmOU9RlhSANI269mITxWQiDw_L_RX4NZyFcWmVg0_0jto06NbInyVlLKOc4pV8MTvmTjXK7a4OEho9LHbt6XeasrXPd97Q-D5Okq3Ng9fbPKgKcEzzsuOpFDaSwhQarZK1QmMKZeqsFkoIQ68dG8JkYmUm41RKpSgk6ixGreqkLlKTUr-XYJUa5tkIVl9tTvbfLaZ4oe4lkRDirRTsh33UyJctzdwp7jgnZGYFz_-MhEt6-9eOrA90W2v_m4muw7VAqdnL_h-4ASt2ehPWBrkKFrzXLfj5vmvwk3KFqVl9cnZ2ynw2JW_0l97rM63wq26mlrVeHYggy9TUMCRCgTRbYS5JoV_iZEGIh7kzeHPWqR9cu6ZkUySrspkvt8zcKjcbNGi68NRmZn1uQ3sbPlyIXdZhNKWvuAPMEFHTWCZInEkUti4LXSDGdaStJsZXjiEawFFhqNbuREOOqkWdaY-nymXoOTxV-RieLG6Z9aVKzmu8MWCoCl6rrZYAGsPTAYXLy__s7O75nT2EK9sHb_eqvZ3J7j24mjhi5BOeN2DUzU_sfbiM37rP7fxB-J0YfLxoeP4Gv7tfjw |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9QwEB1BQagcaGmp2LJQH3qisrpJvIlzRMAKBFpVbUG9RfbYFl_KrjYpgv4KfnLHjrNbEK2EOMexE3vsefaM3wPYNxKVEpngDqXhIhe0DmZ5zjOUJTkgTaOug9hEMZ3Ks7PyKOqcNn22ex-S7O40eJamuj2cG3e4vPjmaUt8QlVOozwueH4b7gjayPicruOTj8sdV6ShJExAMJJ8bx_W_FsVvzumFdr8I0Aa_M5k47-_eBMeRMjJXnQ28hBu2XoLNno5BxZn9xbcv8JNuA2_TtoZflKexpm584uLnyzkHvKZ_tKtkUwr_KpntWVN0NKhAWaqNgzJ_SJhe-ZD-t2BIIuyNczfWFuwVv3g2hel30FqjM0DOTHzZ8KsV2xpY6uzuQ2ZAM0j-DB5ffryDY_yDRyzvGx5JoUdSWEKjVZJp9CYQhk3dkIJYcg-EkOTP7VyLJNMSqUIe-hxglq51BWZyXZgraa_eAzMEKzRWKZICEMU1pWFLhATN9JWEz4qBzDqx67CyG3uJTa-VUtW5tD_lc9n8_1f5QN4vnxl3hF73FR42BtEFed4U6VlIkc5ISg5gIPeAFaPr61s959K78G9o1eT6v3b6bsnsJ56UBGShYew1i7O7VO4i9_bz83iWbD8S5zzBOY |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Stochastic+fuzzy+multi-objective+backbone+selection+and+capacity+allocation+problem+under+tax-band+pricing+policy+with+different+fuzzy+operators&rft.jtitle=Soft+computing+%28Berlin%2C+Germany%29&rft.au=Turan%2C+Hasan+H%C3%BCseyin&rft.date=2017-07-01&rft.pub=Springer+Nature+B.V&rft.issn=1432-7643&rft.eissn=1433-7479&rft.volume=21&rft.issue=14&rft.spage=4085&rft.epage=4110&rft_id=info:doi/10.1007%2Fs00500-016-2057-6 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1432-7643&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1432-7643&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1432-7643&client=summon |