An inexact double-sided chance-constrained model for air quality management in Nanshan District, Shengzhen, China

In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Engineering optimization Ročník 46; číslo 12; s. 1694 - 1708
Hlavní autoři: Shao, Liguo, Xu, Ye, Huang, Guohe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Taylor & Francis 02.12.2014
Taylor & Francis Ltd
Témata:
Air quality
air quality management
chance-constrained programming
China
Computer programming
Fuzzy
Fuzzy logic
Fuzzy set theory
interval linear programming
Intervals
Linear programming
Management
Outdoor air quality
Programming
uncertainty
Shengzhen China
China, People's Rep., Guangdong Prov., Shenzhen
China, People's Rep
ISSN:0305-215X, 1029-0273
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-sided fuzzy-random-chance-constrained programming models. It can express uncertain information as both fuzzy random variables and discrete intervals. The proposed model was solved based on the stochastic and fuzzy chance-constrained programming techniques and an interactive two-step algorithm. The air quality management system of Nanshan District, including one pollutant, six emission sources, six treatment technologies and four receptor sites, was used to demonstrate the applicability of the proposed method. The results indicated that the IDSFRCCP was capable of helping decision makers to analyse trade-offs between system cost and risk of constraint violation. The mid-range solutions tending to lower bounds with moderate α h and q i values were recommended as decision alternatives owing to their robust characteristics.
AbstractList In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-sided fuzzy-random-chance-constrained programming models. It can express uncertain information as both fuzzy random variables and discrete intervals. The proposed model was solved based on the stochastic and fuzzy chance-constrained programming techniques and an interactive two-step algorithm. The air quality management system of Nanshan District, including one pollutant, six emission sources, six treatment technologies and four receptor sites, was used to demonstrate the applicability of the proposed method. The results indicated that the IDSFRCCP was capable of helping decision makers to analyse trade-offs between system cost and risk of constraint violation. The mid-range solutions tending to lower bounds with moderate α h and q i values were recommended as decision alternatives owing to their robust characteristics.
In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-sided fuzzy-random-chance-constrained programming models. It can express uncertain information as both fuzzy random variables and discrete intervals. The proposed model was solved based on the stochastic and fuzzy chance-constrained programming techniques and an interactive two-step algorithm. The air quality management system of Nanshan District, including one pollutant, six emission sources, six treatment technologies and four receptor sites, was used to demonstrate the applicability of the proposed method. The results indicated that the IDSFRCCP was capable of helping decision makers to analyse trade-offs between system cost and risk of constraint violation. The mid-range solutions tending to lower bounds with moderate &^sub h^ and q^sub i^ values were recommended as decision alternatives owing to their robust characteristics.
In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-sided fuzzy-random-chance-constrained programming models. It can express uncertain information as both fuzzy random variables and discrete intervals. The proposed model was solved based on the stochastic and fuzzy chance-constrained programming techniques and an interactive two-step algorithm. The air quality management system of Nanshan District, including one pollutant, six emission sources, six treatment technologies and four receptor sites, was used to demonstrate the applicability of the proposed method. The results indicated that the IDSFRCCP was capable of helping decision makers to analyse trade-offs between system cost and risk of constraint violation. The mid-range solutions tending to lower bounds with moderate alpha sub(h) and q sub(i) values were recommended as decision alternatives owing to their robust characteristics.
Author Huang, Guohe
Shao, Liguo
Xu, Ye
Author_xml – sequence: 1
  givenname: Liguo
  surname: Shao
  fullname: Shao, Liguo
  organization: China Center of Information Industry Development
– sequence: 2
  givenname: Ye
  surname: Xu
  fullname: Xu, Ye
  email: xuye0401@gmail.com
  organization: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Sino-Canada Resources and Environmental Research Academy, North China Electric Power University
– sequence: 3
  givenname: Guohe
  surname: Huang
  fullname: Huang, Guohe
  organization: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Sino-Canada Resources and Environmental Research Academy, North China Electric Power University
BookMark eNqFkU1rFDEch4NUcFv9Bh4CXjx01rxNZuJFylpfoLQHFbyFbPKfbspM0k0y2PXTm2H10oOFkFye5wfhOUUnIQZA6DUla0p68o5w0jLa_lwzQvm6l1RI8gytKGGqIazjJ2i1IM3CvECnOd-RChLSr9D-ImAf4MHYgl2ctyM02Ttw2O5MsNDYGHJJpiIOT9HBiIeYsPEJ72cz-nLAkwnmFiYIpQ7haxNyNfFHXzVvyzn-toNw-7te53iz88G8RM8HM2Z49fc9Qz8-XX7ffGmubj5_3VxcNVZ0tDSU9lIouZWWWaNkNwhF5JaCI045UB0zwLqBd9ApyQeiegJSCKacYYNkIPgZenvcvU9xP0MuevLZwjiaAHHOmnZdT1qqWvY0Kmk9reS8om8eoXdxTqF-RC-AaoXgy6A4UjbFnBMM-j75yaSDpkQvyfS_ZHpJpo_Jqvb-kWZ9McXHsCQYn5I_HGUfaqLJ_IppdLqYwxjTkGpMnzX_78IfmDuv-g
CitedBy_id crossref_primary_10_1080_0305215X_2014_998661
crossref_primary_10_3390_ijerph19010344
crossref_primary_10_1007_s00477_015_1187_1
crossref_primary_10_1080_0305215X_2016_1139399
crossref_primary_10_1080_0305215X_2016_1231306
Cites_doi 10.1016/S0165-0114(98)00269-3
10.1016/j.ejor.2006.04.042
10.1016/0165-0114(95)00043-7
10.3808/jei.201300244
10.1016/j.advwatres.2010.06.002
10.1080/02630259208970657
10.3155/1047-3289.60.7.805
10.1016/j.ejor.2006.03.053
10.1007/s00477-010-0454-4
10.1016/j.apenergy.2007.09.003
10.1016/j.atmosenv.2008.03.043
10.1016/j.automatica.2008.04.001
10.1007/s10666-006-9077-z
10.1016/0165-0114(93)90029-H
10.1155/2013/647569
10.1080/0305215031000097068
10.1016/j.fss.2004.01.002
10.1016/j.jenvman.2011.03.024
ContentType Journal Article
Copyright 2013 Taylor & Francis 2013
Copyright Taylor & Francis Ltd. 2014
Copyright_xml – notice: 2013 Taylor & Francis 2013
– notice: Copyright Taylor & Francis Ltd. 2014
DBID AAYXX
CITATION
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
7TV
C1K
DOI 10.1080/0305215X.2013.861460
DatabaseName CrossRef
Computer and Information Systems Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Pollution Abstracts
Environmental Sciences and Pollution Management
DatabaseTitle CrossRef
Civil Engineering Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Engineering Research Database
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts Professional
Pollution Abstracts
Environmental Sciences and Pollution Management
DatabaseTitleList
Civil Engineering Abstracts
Civil Engineering Abstracts
Pollution Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1029-0273
EndPage 1708
ExternalDocumentID 3438550651
10_1080_0305215X_2013_861460
861460
Genre Article
Feature
GeographicLocations Shengzhen China
China, People's Rep., Guangdong Prov., Shenzhen
China, People's Rep
GeographicLocations_xml – name: Shengzhen China
– name: China, People's Rep., Guangdong Prov., Shenzhen
– name: China, People's Rep
GroupedDBID -~X
.7F
.QJ
0BK
0R~
29G
2DF
30N
4.4
5GY
5VS
AAENE
AAGDL
AAHIA
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABHAV
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGEJ
ACGFS
ACGOD
ACIWK
ACTIO
ADCVX
ADGTB
ADXPE
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFKVX
AFRVT
AGDLA
AGMYJ
AHDZW
AIJEM
AIYEW
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AQTUD
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
EBS
EJD
E~A
E~B
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
M4Z
NA5
NX~
O9-
P2P
PQQKQ
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TASJS
TBQAZ
TDBHL
TEN
TFL
TFT
TFW
TN5
TNC
TTHFI
TUROJ
TWF
UT5
UU3
ZGOLN
~S~
AAYXX
CITATION
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
7TV
C1K
ID FETCH-LOGICAL-c471t-1186496b6c2ca967f4906b1ed0d9de972ae27f37e7963f0980e64429da2f62e43
IEDL.DBID TFW
ISICitedReferencesCount 4
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000342135100005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0305-215X
IngestDate Fri Sep 05 08:42:20 EDT 2025
Tue Oct 07 07:55:20 EDT 2025
Wed Aug 13 09:51:33 EDT 2025
Sat Nov 29 06:22:45 EST 2025
Tue Nov 18 22:23:04 EST 2025
Mon Oct 20 23:47:10 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 12
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c471t-1186496b6c2ca967f4906b1ed0d9de972ae27f37e7963f0980e64429da2f62e43
Notes SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
PQID 1563954432
PQPubID 53195
PageCount 15
ParticipantIDs crossref_citationtrail_10_1080_0305215X_2013_861460
crossref_primary_10_1080_0305215X_2013_861460
informaworld_taylorfrancis_310_1080_0305215X_2013_861460
proquest_miscellaneous_1611615633
proquest_miscellaneous_1778051952
proquest_journals_1563954432
PublicationCentury 2000
PublicationDate 20141202
PublicationDateYYYYMMDD 2014-12-02
PublicationDate_xml – month: 12
  year: 2014
  text: 20141202
  day: 02
PublicationDecade 2010
PublicationPlace Abingdon
PublicationPlace_xml – name: Abingdon
PublicationTitle Engineering optimization
PublicationYear 2014
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References CIT0010
CIT0021
CIT0020
CIT0001
CIT0012
CIT0011
CIT0003
CIT0014
CIT0002
CIT0013
CIT0005
CIT0004
CIT0007
CIT0018
CIT0006
CIT0017
CIT0009
CIT0008
CIT0019
References_xml – ident: CIT0012
  doi: 10.1016/S0165-0114(98)00269-3
– ident: CIT0006
  doi: 10.1016/j.ejor.2006.04.042
– ident: CIT0010
  doi: 10.1016/0165-0114(95)00043-7
– ident: CIT0019
  doi: 10.3808/jei.201300244
– ident: CIT0021
  doi: 10.1016/j.advwatres.2010.06.002
– ident: CIT0004
  doi: 10.1080/02630259208970657
– ident: CIT0020
  doi: 10.3155/1047-3289.60.7.805
– ident: CIT0014
  doi: 10.1016/j.ejor.2006.03.053
– ident: CIT0013
  doi: 10.1007/s00477-010-0454-4
– ident: CIT0005
  doi: 10.1016/j.apenergy.2007.09.003
– ident: CIT0002
  doi: 10.1016/j.atmosenv.2008.03.043
– ident: CIT0001
  doi: 10.1016/j.automatica.2008.04.001
– ident: CIT0008
  doi: 10.1007/s10666-006-9077-z
– ident: CIT0007
  doi: 10.1016/0165-0114(93)90029-H
– ident: CIT0018
  doi: 10.1155/2013/647569
– ident: CIT0009
  doi: 10.1080/0305215031000097068
– ident: CIT0011
  doi: 10.1016/j.fss.2004.01.002
– ident: CIT0003
  doi: 10.1016/j.automatica.2008.04.001
– ident: CIT0017
  doi: 10.1016/j.jenvman.2011.03.024
SSID ssj0013008
Score 2.0423229
Snippet In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the...
SourceID proquest
crossref
informaworld
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1694
SubjectTerms Air quality
air quality management
chance-constrained programming
China
Computer programming
Fuzzy
Fuzzy logic
Fuzzy set theory
interval linear programming
Intervals
Linear programming
Management
Outdoor air quality
Programming
uncertainty
Title An inexact double-sided chance-constrained model for air quality management in Nanshan District, Shengzhen, China
URI https://www.tandfonline.com/doi/abs/10.1080/0305215X.2013.861460
https://www.proquest.com/docview/1563954432
https://www.proquest.com/docview/1611615633
https://www.proquest.com/docview/1778051952
Volume 46
WOSCitedRecordID wos000342135100005&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: PRVAWR
  databaseName: Taylor & Francis Journals Complete
  customDbUrl:
  eissn: 1029-0273
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0013008
  issn: 0305-215X
  databaseCode: TFW
  dateStart: 19740101
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Pb9MwFLbQxAEOjF8T3QoyEsdmc-zEjo_VRsUBVUgU6C1yHBsqdenWpojtr997TlJaTRQJcrCUxM9ybD-_92L7-wh5Z6yyEoFuIVhQkGQuKmQKUWuiBQyRxMaBzufrRzUeZ9Op_rR1ih-3VWIM7RugiDBXo3KbYtXtiDvDMQqWaoobs8RpBgZGYtAOlh81czL69nsZgQVKOhSIUKI7O_eHQnZs0w5y6b2ZOpif0eH_V_wpedK6nnTYjJVn5IGrnpPHW4CEL8j1sKJw98vYmpaLdTF3EdJ5lhTPB1sXWfQmkVQCHgUOHQqVp2a2pM3hzBt6udlOAwVRmLtXIEkvEJ53ZusB_fzDVd9vIRnQQN39knwZvZ-cf4haUobIgh2rIwhIZKJlIS23RkvlE81kEbuSlbp0WnHjuPJCOQWq7ZnOmAOXi-vScC-5S8QROagWlXtFaAmXSZn0rDCJsDqTgvnUaOt8ZgUre0R03ZHbFrEcv3Gexx2wadugOTZo3jRoj0QbqasGseMv-bPtns7r8KfEN7Qmudgv2u9GRd6q_iqHgFhoRBXkPfJ28xqUFldiTOUWa8gjY_S0pRB78iikm4h1yo__vYYn5BHcBWRKxvvkoF6u3Wvy0P6sZ6vlm6Asd-mHDz4
linkProvider Taylor & Francis
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Rb9MwELbQmMT2wAYborANI_G4gGOndvw4DaohSoVEYX2zHMcelUY62hQBv547J-k2TQwJkYdISXyW4_h8d875-wh5YZ1yEoFuIVhQcMp9Usg-RK2ZFjBEMpdGOp_PQzUa5ZOJ_tBmEy7atEqMoUMDFBHnalRuXIzuUuJe4SAFUzXBzCzxMgcLIyFqv4vkdBh_jQenlz8SWCSlQ4kERbrdc3-o5Zp1uoZdemOujgZosPUfmr5N7rfeJz1qhssDcsdXD8nmFUzCHfLtqKJw9cO6mpazZXHuE2T0LCluEXY-cehQIq8E3Io0OhRaT-10Tpv9mT_p11VGDVREYfpegCR9jQi9U1cf0o9ffHX2C06HNLJ375JPgzfj45Ok5WVIHJiyOoGYRGZaFtJxZ7VUIdNMFqkvWalLrxW3nqsglFeg3YHpnHnwurguLQ-S-0w8ImvVrPKPCS3hsH0mAytsJpzOpWChb7XzIXeClT0iuu9hXAtaju94btIO27TtUIMdapoO7ZFkJXXRgHb8pXx-9VObOi6WhIbZxIjbRfe6YWFa7V8YiImFRmBB3iPPV49Bb_FnjK38bAllZIrOthTiljIKGSdS3edP_r2Fz8i9k_H7oRm-Hb17SjbgSQSqZHyPrNXzpd8n6-57PV3MD6Lm_AYYKRNq
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwELfQhhA8bHyKjg2MxOMCjp3a8eO0rQIxVZMY0DfL8QdUGuloUzT467lzktIJMSTIQ6QkPstx7ny-2Pf7EfLCOuUkAt1CsKDgVIaskkOIWgstQEUKlyc6nw8najwuJxN9upbFj9sqMYaOLVBEGqvRuC987HfEvUIdBU81wY1Z4mUJDkZC0L4pMSsYNPps9PHXOgJLnHQokaFInzz3h1quOKcr0KW_DdXJ_4y2_7_ld8lWN_ekB62y3CM3Qn2f3FlDJHxAvh7UFK4urWuony2r85Ahn6enmCDsQuZwOomsEnArkehQaDy10zltszO_0y-r_TRQEYXBewGS9Ajxeaeu2afvPof60w847dPE3f2QvB8dnx2-zjpWhsyBI2syiEhkoWUlHXdWSxULzWSVB8-89kErbgNXUaigwLYj0yULMOfi2lseJQ-FeEQ26lkdHhPq4bBDJiOrbCGcLqVgcWi1C7F0gvkBEf3nMK6DLMd3PDd5j2zadajBDjVthw5ItpK6aCE7_lK-XP_Spkm_SmLLa2LE9aK7vVaYzvYXBrRQaIQV5APyfPUYrBaXYmwdZksoI3OcakshrimjkG8i10O-8-8tfEZunR6NzMmb8dsn5DY8SCiVjO-SjWa-DHvkpvvWTBfzp8lufgKWTRIO
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=An+inexact+double-sided+chance-constrained+model+for+air+quality+management+in+Nanshan+District%2C+Shengzhen%2C+China&rft.jtitle=Engineering+optimization&rft.au=Shao%2C+Liguo&rft.au=Xu%2C+Ye&rft.au=Huang%2C+Guohe&rft.date=2014-12-02&rft.issn=0305-215X&rft.eissn=1029-0273&rft.volume=46&rft.issue=12&rft.spage=1694&rft.epage=1708&rft_id=info:doi/10.1080%2F0305215X.2013.861460&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0305-215X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0305-215X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0305-215X&client=summon