A novel algorithmic approach to model uncertainties associated with sustainable supply chain management using complex spherical fuzzy soft settings

This study introduces the complex spherical fuzzy soft set (CSFSS), a sophisticated framework that deals with supplier selection uncertainties. This work is crucial to the organization because it has a direct impact on the reliability, costs, and quality of its goods and services. Amplitude and phas...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of information technology (Singapore. Online) Ročník 17; číslo 5; s. 2877 - 2885
Hlavní autoři: Asghar, Ali, Khan, Khuram Ali, Rahman, Atiqe Ur, El-Morsy, Salwa
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.06.2025
Springer Nature B.V
Témata:
Amplitudes
Artificial Intelligence
Component and supplier management
Computer Imaging
Computer Science
Construction
Decision making
Fuzzy sets
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Sensitivity analysis
Set theory
Software Engineering
Suppliers
Supply chain management
Supply chains
Uncertainty
Vision
Decision-making
Supply chain management
05C72
Spherical fuzzy set
05C90
Soft set
Spherical fuzzy soft set
90B50
Optimization
ISSN:2511-2104, 2511-2112
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract This study introduces the complex spherical fuzzy soft set (CSFSS), a sophisticated framework that deals with supplier selection uncertainties. This work is crucial to the organization because it has a direct impact on the reliability, costs, and quality of its goods and services. Amplitude and phase features are introduced in this framework to maintain the anticipated data-based patterns. The amplitude feature handles fuzzy membership, whereas the phase feature preserves periodicity inside a complex plane. In addition, CSFSS provides decision-makers with the power to present their unbiased assessments of the items under consideration through the use of an unbiased grading system. Next, the paper moves on to explore the fundamental ideas and set operations related to CSFSS. An algorithm based on multi-attribute decision-making (MADM) is presented. The core matrix, score, maximum and minimum decision-valued matrices are among the exclusive matrix-based arrangements of CSFSS that are specified by this method. In real life, this method is applied to selecting a trustworthy source for building project supplies. The results and supplier ranks are legitimate based on sensitivity analysis using Pythagorean means. Furthermore, structural comparison with existing fuzzy set-like structures suggests that the proposed framework is more flexible and robust.
AbstractList This study introduces the complex spherical fuzzy soft set (CSFSS), a sophisticated framework that deals with supplier selection uncertainties. This work is crucial to the organization because it has a direct impact on the reliability, costs, and quality of its goods and services. Amplitude and phase features are introduced in this framework to maintain the anticipated data-based patterns. The amplitude feature handles fuzzy membership, whereas the phase feature preserves periodicity inside a complex plane. In addition, CSFSS provides decision-makers with the power to present their unbiased assessments of the items under consideration through the use of an unbiased grading system. Next, the paper moves on to explore the fundamental ideas and set operations related to CSFSS. An algorithm based on multi-attribute decision-making (MADM) is presented. The core matrix, score, maximum and minimum decision-valued matrices are among the exclusive matrix-based arrangements of CSFSS that are specified by this method. In real life, this method is applied to selecting a trustworthy source for building project supplies. The results and supplier ranks are legitimate based on sensitivity analysis using Pythagorean means. Furthermore, structural comparison with existing fuzzy set-like structures suggests that the proposed framework is more flexible and robust.
Author Khan, Khuram Ali
Asghar, Ali
Rahman, Atiqe Ur
El-Morsy, Salwa
Author_xml – sequence: 1
  givenname: Ali
  surname: Asghar
  fullname: Asghar, Ali
  organization: Department of Mathematics, University of Sargodha
– sequence: 2
  givenname: Khuram Ali
  surname: Khan
  fullname: Khan, Khuram Ali
  organization: Department of Mathematics, University of Sargodha
– sequence: 3
  givenname: Atiqe Ur
  orcidid: 0000-0001-6320-9221
  surname: Rahman
  fullname: Rahman, Atiqe Ur
  email: aurkhb@gmail.com
  organization: Department of Mathematics, University of Management and Technology
– sequence: 4
  givenname: Salwa
  surname: El-Morsy
  fullname: El-Morsy, Salwa
  organization: Basic Science Department, Nile Higher Institute for Engineering and Technology, Department of Mathematics, College of Science, Qassim University
BookMark eNp9kM1u1TAQhS1UpJbSF-jKEuuAf2InWVYVUKRK3cDasp3JvUaJHTwOcPsavDBub1UkFl1YHs2cb4593pCTmCIQcsnZe85Y9wFb3nesYaKtRzDdsFfkTCjOG8G5OHmuWXtKLhCDY5ILLVXHz8ifKxrTT5ipnXcph7Jfgqd2XXOyfk9Loksa63SLHnKxIZYASC1i8sEWGOmvilDc8GFm3Qy1Xtf5QP2-Nuhio93BArHQDUPcUZ-WdYbfFNc95ODtTKft_v5AMU2FIpRSRfiWvJ7sjHDxdJ-Tb58-fr2-aW7vPn-5vrptvJAta7QG55znPUgH_dS3VnXD4Jl2QuvROdW1zrbSC-blMIjJTXpSIwDXY9f3o5Xn5N1xb_3tjw2wmO9py7FaGimUUkK1YqgqcVT5nBAzTGbNYbH5YDgzD_mbY_6m5m8e8zesQv1_kA_FlpBiyTbML6PyiGL1iTvI_171AvUXAkKgrA
CitedBy_id crossref_primary_10_1007_s41870_024_02359_y
Cites_doi 10.1007/s41870-023-01441-1
10.1109/TFUZZ.2015.2500273
10.1007/s40314-022-01888-1
10.3390/sym9110279
10.1109/WICT.2013.7113099
10.1109/91.995119
10.1016/j.jclepro.2013.02.010
10.1016/j.jclepro.2014.08.054
10.1016/S0019-8501(99)00113-3
10.1063/1.4757515
10.1016/j.jclepro.2013.12.076
10.1007/978-3-030-45461-6_6
10.1016/S0898-1221(99)00056-5
10.1016/j.cam.2006.04.008
10.1155/2017/7954784
10.1002/int.21584
10.1016/S0165-0114(86)80034-3
10.1002/j.2158-1592.2001.tb00001.x
10.1201/9781420047462
10.7717/peerj-cs.1540
10.1155/2014/972198
ContentType Journal Article
Copyright Bharati Vidyapeeth's Institute of Computer Applications and Management 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. corrected publication 2025
Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
Copyright_xml – notice: Bharati Vidyapeeth's Institute of Computer Applications and Management 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. corrected publication 2025
– notice: Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
DBID AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1007/s41870-024-02206-0
DatabaseName CrossRef
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Computer Science
EISSN 2511-2112
EndPage 2885
ExternalDocumentID 10_1007_s41870_024_02206_0
GroupedDBID 0R~
406
AACDK
AAHNG
AAIAL
AAJBT
AANZL
AASML
AATNV
AATVU
AAUYE
ABAKF
ABBRH
ABDBE
ABDZT
ABECU
ABFSG
ABFTV
ABJNI
ABJOX
ABKCH
ABMQK
ABQBU
ABTEG
ABTKH
ABTMW
ABXPI
ACAOD
ACDTI
ACGFS
ACHSB
ACMLO
ACOKC
ACPIV
ACSTC
ACZOJ
ADHHG
ADKNI
ADKPE
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFQL
AEJRE
AEMSY
AEOHA
AESKC
AEVLU
AEXYK
AEZWR
AFBBN
AFDZB
AFHIU
AFOHR
AFQWF
AGDGC
AGMZJ
AGQEE
AGRTI
AHPBZ
AHSBF
AHWEU
AIAKS
AIGIU
AILAN
AITGF
AIXLP
AJRNO
AJZVZ
ALFXC
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMXSW
AMYLF
AMYQR
ATHPR
AXYYD
AYFIA
BGNMA
CSCUP
DNIVK
DPUIP
EBLON
EBS
EIOEI
EJD
FERAY
FIGPU
FINBP
FNLPD
FSGXE
GGCAI
GJIRD
IKXTQ
IWAJR
J-C
JZLTJ
KOV
LLZTM
M4Y
NPVJJ
NQJWS
NU0
O9J
PT4
RLLFE
ROL
RSV
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
TSG
UOJIU
UTJUX
UZXMN
VFIZW
ZMTXR
AAYXX
ABRTQ
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
CITATION
DWQXO
GNUQQ
HCIFZ
K7-
PHGZM
PHGZT
PQGLB
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c2340-66ebbbc18e3be8f84a5799c06b266dbb574ba43c20c3992fbf6f5dee16d788da3
IEDL.DBID RSV
ISSN 2511-2104
IngestDate Wed Oct 01 07:00:35 EDT 2025
Sat Nov 29 07:49:10 EST 2025
Tue Nov 18 22:29:38 EST 2025
Thu Jun 26 01:50:56 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 5
Keywords Decision-making
Supply chain management
05C72
Spherical fuzzy set
05C90
Soft set
Spherical fuzzy soft set
90B50
Optimization
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2340-66ebbbc18e3be8f84a5799c06b266dbb574ba43c20c3992fbf6f5dee16d788da3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-6320-9221
PQID 3255525429
PQPubID 2034493
PageCount 9
ParticipantIDs proquest_journals_3255525429
crossref_primary_10_1007_s41870_024_02206_0
crossref_citationtrail_10_1007_s41870_024_02206_0
springer_journals_10_1007_s41870_024_02206_0
PublicationCentury 2000
PublicationDate 20250600
2025-06-00
20250601
PublicationDateYYYYMMDD 2025-06-01
PublicationDate_xml – month: 6
  year: 2025
  text: 20250600
PublicationDecade 2020
PublicationPlace Singapore
PublicationPlace_xml – name: Singapore
– name: Heidelberg
PublicationSubtitle An Official Journal of Bharati Vidyapeeth's Institute of Computer Applications and Management
PublicationTitle International journal of information technology (Singapore. Online)
PublicationTitleAbbrev Int. j. inf. tecnol
PublicationYear 2025
Publisher Springer Nature Singapore
Springer Nature B.V
Publisher_xml – name: Springer Nature Singapore
– name: Springer Nature B.V
References KT Atanassov (2206_CR4) 1986; 20
T Mahmood (2206_CR28) 2022; 41
LA Zadeh (2206_CR3) 1965; 8
D Molodtsov (2206_CR19) 1999; 37
S Ashraf (2206_CR9) 2019; 36
Y Yang (2206_CR23) 2015; 29
T Kumar (2206_CR27) 2014; 2014
R Rajesh (2206_CR30) 2015; 86
S Ashraf (2206_CR8) 2019; 36
Z Salman (2206_CR14) 2024; 16
PK Maji (2206_CR21) 2001; 9
RR Yager (2206_CR18) 2013; 28
SC Malik (2206_CR13) 2023; 15
S Dick (2206_CR17) 2015; 24
E Guner (2206_CR25) 2022; 19
P Thirunavukarasu (2206_CR26) 2017; 3
D Ramot (2206_CR15) 2002; 10
D Kannan (2206_CR32) 2015; 96
A Asghar (2206_CR29) 2023; 9
Ž Stević (2206_CR34) 2017; 9
M Raj (2206_CR10) 2022; 14
PA Fathima Perveen (2206_CR24) 2021
2206_CR35
2206_CR12
DM Lambert (2206_CR1) 2000; 29
2206_CR33
A Alkouri (2206_CR16) 2012; 1482
S Sebastian (2206_CR11) 2024; 16
XD Peng (2206_CR22) 2015; 41
2206_CR6
BC Cuong (2206_CR7) 2014; 30
AR Roy (2206_CR20) 2007; 203
WJ O’Brien (2206_CR31) 2008
RR Yager (2206_CR5) 2013; 22
JT Mentzer (2206_CR2) 2001; 22
References_xml – ident: 2206_CR12
  doi: 10.1007/s41870-023-01441-1
– volume: 24
  start-page: 1009
  issue: 5
  year: 2015
  ident: 2206_CR17
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/TFUZZ.2015.2500273
– volume: 41
  start-page: 227
  issue: 6
  year: 2022
  ident: 2206_CR28
  publication-title: Comput Appl Math
  doi: 10.1007/s40314-022-01888-1
– volume: 9
  start-page: 677
  issue: 3
  year: 2001
  ident: 2206_CR21
  publication-title: J Fuzzy Math
– volume: 9
  start-page: 279
  issue: 11
  year: 2017
  ident: 2206_CR34
  publication-title: Symmetry
  doi: 10.3390/sym9110279
– ident: 2206_CR6
  doi: 10.1109/WICT.2013.7113099
– volume: 10
  start-page: 171
  issue: 2
  year: 2002
  ident: 2206_CR15
  publication-title: IEEE Trans Fuzzy Syst
  doi: 10.1109/91.995119
– volume: 29
  start-page: 1711
  issue: 4
  year: 2015
  ident: 2206_CR23
  publication-title: J Intell Fuzzy Syst
– ident: 2206_CR33
  doi: 10.1016/j.jclepro.2013.02.010
– volume: 19
  start-page: 83
  issue: 2
  year: 2022
  ident: 2206_CR25
  publication-title: Iran J Fuzzy Syst
– volume: 86
  start-page: 343
  year: 2015
  ident: 2206_CR30
  publication-title: J Clean Prod
  doi: 10.1016/j.jclepro.2014.08.054
– volume: 30
  start-page: 409
  issue: 4
  year: 2014
  ident: 2206_CR7
  publication-title: J Comput Sci Cybern
– volume: 29
  start-page: 65
  issue: 1
  year: 2000
  ident: 2206_CR1
  publication-title: Industrial Mark Manage
  doi: 10.1016/S0019-8501(99)00113-3
– volume: 36
  start-page: 6089
  issue: 6
  year: 2019
  ident: 2206_CR8
  publication-title: J Intell Fuzzy Syst
– volume: 16
  start-page: 465
  issue: 1
  year: 2024
  ident: 2206_CR14
  publication-title: Int J Inf Technol
– volume: 41
  start-page: 224
  issue: 7
  year: 2015
  ident: 2206_CR22
  publication-title: Comput Eng
– volume: 3
  start-page: 13
  issue: 10
  year: 2017
  ident: 2206_CR26
  publication-title: Intl J Innov Sci Res Technol
– volume: 1482
  start-page: 464
  issue: 1
  year: 2012
  ident: 2206_CR16
  publication-title: AIP Conf Proceed, Am Inst Phys
  doi: 10.1063/1.4757515
– volume: 36
  start-page: 2829
  issue: 3
  year: 2019
  ident: 2206_CR9
  publication-title: J Intell Fuzzy Syst
– volume: 96
  start-page: 194
  year: 2015
  ident: 2206_CR32
  publication-title: J Clean Prod
  doi: 10.1016/j.jclepro.2013.12.076
– start-page: 135
  volume-title: Decision making with spherical fuzzy sets: theory and applications, Studies in Fuzziness and Soft Computing
  year: 2021
  ident: 2206_CR24
  doi: 10.1007/978-3-030-45461-6_6
– volume: 37
  start-page: 19
  year: 1999
  ident: 2206_CR19
  publication-title: Comput Math Appl
  doi: 10.1016/S0898-1221(99)00056-5
– volume: 203
  start-page: 412
  issue: 2
  year: 2007
  ident: 2206_CR20
  publication-title: J Comput Appl Math
  doi: 10.1016/j.cam.2006.04.008
– volume: 15
  start-page: 3449
  issue: 7
  year: 2023
  ident: 2206_CR13
  publication-title: Int J Inf Technol
– ident: 2206_CR35
  doi: 10.1155/2017/7954784
– volume: 28
  start-page: 436
  issue: 5
  year: 2013
  ident: 2206_CR18
  publication-title: Int J Intell Syst
  doi: 10.1002/int.21584
– volume: 16
  start-page: 1
  year: 2024
  ident: 2206_CR11
  publication-title: Int J Inf Technol
– volume: 20
  start-page: 87
  issue: 1
  year: 1986
  ident: 2206_CR4
  publication-title: Fuzzy Sets Syst
  doi: 10.1016/S0165-0114(86)80034-3
– volume: 22
  start-page: 1
  issue: 2
  year: 2001
  ident: 2206_CR2
  publication-title: J Bus Logist
  doi: 10.1002/j.2158-1592.2001.tb00001.x
– volume-title: Construction supply chain management handbook
  year: 2008
  ident: 2206_CR31
  doi: 10.1201/9781420047462
– volume: 22
  start-page: 958
  issue: 2013
  year: 2013
  ident: 2206_CR5
  publication-title: IEEE Trans Fuzzy Syst
– volume: 9
  year: 2023
  ident: 2206_CR29
  publication-title: PeerJ Comput Sci
  doi: 10.7717/peerj-cs.1540
– volume: 2014
  year: 2014
  ident: 2206_CR27
  publication-title: J Math
  doi: 10.1155/2014/972198
– volume: 14
  start-page: 2219
  issue: 4
  year: 2022
  ident: 2206_CR10
  publication-title: Int J Inf Technol
– volume: 8
  start-page: 338
  issue: 3
  year: 1965
  ident: 2206_CR3
  publication-title: Fuzzy Sets
SSID ssib031263571
ssj0002710285
Score 2.3132834
Snippet This study introduces the complex spherical fuzzy soft set (CSFSS), a sophisticated framework that deals with supplier selection uncertainties. This work is...
SourceID proquest
crossref
springer
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 2877
SubjectTerms Amplitudes
Artificial Intelligence
Component and supplier management
Computer Imaging
Computer Science
Construction
Decision making
Fuzzy sets
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Sensitivity analysis
Set theory
Software Engineering
Suppliers
Supply chain management
Supply chains
Uncertainty
Vision
Title A novel algorithmic approach to model uncertainties associated with sustainable supply chain management using complex spherical fuzzy soft settings
URI https://link.springer.com/article/10.1007/s41870-024-02206-0
https://www.proquest.com/docview/3255525429
Volume 17
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAVX
  databaseName: SpringerLink
  customDbUrl:
  eissn: 2511-2112
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002710285
  issn: 2511-2104
  databaseCode: RSV
  dateStart: 20170301
  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/eLvHCXMwnV1Lb9NAEB7RwoEeCIQiAgHNgRtY8mPt2MeqatVThMRDuVneVxKURxUnUZO_0T_cmc06AUQr0Ztlr1eWZnZnxvvN9wF8qlSiLaWtgaYAEAgTZUHOMDEZCVukNtRhKJ3YRK_fzweD4qtvCqsbtHtzJOl26n2zm4hyFkmhKbk7lOrgI3iaMtsM1-jffjZelETMr-KTnF_uaI2DKGMZOZ0OqMYRvnvm39P-GaEOaedfJ6UuAF22HvfpL-GFTzjxbOchr-CJmbWh1Yg5oF_bbTj5jZnwNdye4Wy-NhOsJsP5YrwcTccKG_5xXM7RKeggBcUdpIBpWbHypjYa-fcu1ofmLLqmdHeDakQ3cLrH3CDj7ofogO3mBmsmOWC3QbvabjdYU5DA2jhsdn0KPy4vvp9fBV6_IVBxwl0FmZFSqig3iTS5zUWV9opChZmkrEBLmfaErESi4lAxPa6VNrOpNuQvmgpzXSVv4Hg2n5m3gDpJrTCxUJUuhM5MYWg30hG9KWMrCtOBqLFZqTy5OWtsTMo9LbOzQUk2KJ0NyrADn_fvXO-oPR4c3W1cofTLvC4TKsjSmCW_OvClMf3h8f2zvfu_4e_hecy6w-7vTxeOl4uV-QDP1Ho5rhcfnfvfATcaACc
linkProvider Springer Nature
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1NT9tAEB1RQCocSkuLSAvtHHoDS_5YO_YRVUUgaFQJqLhZ3q-QKiQoTiLgb_CHmdmsk7YqSO3Nsr0rSzPrmdl98x7A50ol2lLaGmgKAIEwURbkDBOTkbBFakMdhtKJTbQ7nfzysvjum8LqBu3eHEm6P_W82U1EOYuk0JTcHUp18AtYESyzwzX62Y_Gi5KI-VV8kvPTHa1xEGUsI6fTAdU4wnfP_H3a3yPUIu3846TUBaDDjf_79NfwyieceDDzkDewZAabsNGIOaBf25uw_gsz4Vt4OMDBcGr6WPW7w1FvfHXdU9jwj-N4iE5BBykoziAFTMuKlTe10cjbu1gvmrPomtLdO1RXdAOv55gbZNx9Fx2w3dxizSQH7DZoJ_f3d1hTkMDaOGx2_Q4uDr-efzkKvH5DoOKEuwoyI6VUUW4SaXKbiyptF4UKM0lZgZYybQtZiUTFoWJ6XCttZlNtyF80Fea6SrZgeTAcmG1AnaRWmFioShdCZ6Yw9DfSEY2UsRWFaUHU2KxUntycNTb65ZyW2dmgJBuUzgZl2IK9-ZibGbXHs2_vNK5Q-mVelwkVZGnMkl8t2G9Mv3j89Gzv_-31T_Dy6PzbaXl63Dn5AGsxaxC7naAdWB6PJmYXVtV03KtHH91SeAQ-qQML
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NT9tAEB1RWlX0UFoKIpTCHHqjFv5YO_YRFSIQKEJtQdws7xcEBQfFBhX-Bn-4Mxs7oYhWqnqz7N2VrJn1zHjfvAfwuVCRtpS2epoCgCdMkHgpw8RkIGwWW1_7vnRiE91-Pz07y44fdfE7tHt7JDnpaWCWprLevtZ2e9r4JoKUBVNoee4UpZr4BbwUVMkwqOvb99PWo6KAuVaahOfSHbNxQGVcI6fWHtU7oumkeX7Z36PVLAV9cmrqglFv8f9f4x28bRJR3Jl4znuYM-USLLYiD9js-SV484ix8AM87GA5ujVDLIbno_GgvrgaKGx5ybEeoVPWQQqWE6gB07Vi0biA0ci_fbGaNW3RNaXBd6gu6AZeTbE4yHj8c3SAd_MTKyY_YHdCe3N_f4cVBQ-sjMNsV8tw0tv78XXfa3QdPBVG3G2QGCmlClITSZPaVBRxN8uUn0jKFrSUcVfIQkQq9BXT5lppExtrQ36kqWDXRbQC8-WoNKuAOoqtMKFQhc6ETkxm6CulA5opQysy04GgtV-uGtJz1t4Y5lO6ZmeDnGyQOxvkfge2pnOuJ5Qffx293rpF3mz_Ko-oUItDlgLrwJfWDWaP_7za2r8N34TXx7u9_Oigf_gRFkKWJnY_iNZhvh7fmE_wSt3Wg2q84XbFL_cEC-8
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=A+novel+algorithmic+approach+to+model+uncertainties+associated+with+sustainable+supply+chain+management+using+complex+spherical+fuzzy+soft+settings&rft.jtitle=International+journal+of+information+technology+%28Singapore.+Online%29&rft.au=Asghar%2C+Ali&rft.au=Khan%2C+Khuram+Ali&rft.au=Rahman%2C+Atiqe+Ur&rft.au=El-Morsy%2C+Salwa&rft.date=2025-06-01&rft.pub=Springer+Nature+Singapore&rft.issn=2511-2104&rft.eissn=2511-2112&rft.volume=17&rft.issue=5&rft.spage=2877&rft.epage=2885&rft_id=info:doi/10.1007%2Fs41870-024-02206-0&rft.externalDocID=10_1007_s41870_024_02206_0
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2511-2104&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2511-2104&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2511-2104&client=summon