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020 _a9783031658549
_9978-3-031-65854-9
024 7 _a10.1007/978-3-031-65854-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aManagement of Uncertainty Using Linguistic Z-Numbers
_h[electronic resource] :
_bApplications for Decision-Making, Granular Computing and Social Networks /
_cedited by Tofigh Allahviranloo, Sovan Samanta.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 336 p. 62 illus., 44 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v434
505 0 _a1. Linguistic Z number fuzzy probabilistic rough set and their corresponding three-way decisions -- 2. TOPSIS-based MAGDM under linguistic Z number information -- 3. A new approach of MCGDM: MARCOS-based alternatives measurement with ranking under linguistic Z number information and their application in the selection of logistics distribution cold chain centre -- 4. Linguistic Z number environment-based site selection of medical logistic centre with TODIM-VIKOR approach -- 5. MCGDM based on TODIM-PROMETHEE II under linguistic Z number environment and their application in site selection of emergency shelte.
520 _aThis book is an in-depth study of the application of Linguistic Z numbers in various domains. It is divided into 18 chapters, each focusing on different aspects and applications of Linguistic Z numbers. The first chapter introduces the concept of a Linguistic Z number fuzzy probabilistic rough set and their corresponding three-way decisions. The second chapter discusses the TOPSIS-based multi-attribute group decision-making (MAGDM) under Linguistic Z number information. The third chapter presents a new approach of multi-criteria group decision-making (MCGDM): MARCOS-based alternatives measurement with ranking under Linguistic Z number information and their application in the selection of logistics distribution cold chain center. The fourth chapter focuses on the Linguistic Z number environment-based site selection of medical logistic centers with the TODIM-VIKOR approach. The fifth chapter explores MCGDM based on TODIM-PROMETHEE II under Linguistic Z number environment and their application in site selection of emergency shelters. The sixth chapter introduces a novel approach of extended ORESTE-based Linguistic Z number MAGDM and their applications in the ability of regional energy assessment. The seventh chapter discusses MCGDM based on MULTIMOORA with Linguistic Z number and their application in software selection. The eighth chapter presents multi-criteria group decision-making using the LogTODIM-TOPSIS approach in a Linguistic Z number environment for selecting auto parts materials in the technology of automobiles. The ninth chapter introduces a Linguistic Z number CoCoSo approach for multi-criteria group decision-making and application to the diagnosis of sepsis. The tenth chapter discusses The ExpTODIM-VIKOR approach under a Linguistic Z number environment and its applications to solve multi-criteria group decision-making problems. This book provides a deep understanding of Linguistic Z numbers and their applications in decision-making, granular computing, and social networks. It is a valuable resource for researchers and practitioners in these fields.
650 0 _aComputational intelligence.
_964052
650 0 _aArtificial intelligence.
_958441
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aArtificial Intelligence.
_958441
700 1 _aAllahviranloo, Tofigh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_968757
700 1 _aSamanta, Sovan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_987013
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031658532
776 0 8 _iPrinted edition:
_z9783031658556
776 0 8 _iPrinted edition:
_z9783031658563
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v434
_968285
856 4 0 _uhttps://doi.org/10.1007/978-3-031-65854-9
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c64711
_d64711