04470nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050000900153072001600162072002300178072001500201245020600216250001800422264006900440300006300509336002600572337002600598338003600624347002400660490006300684505061800747520209901365650003203464650002903496650003203525650002903557700008403586700007703670710003403747773002603781776003603807776003603843776003603879830006303915856004603978978-3-031-65854-9DE-He21320251030113258.0cr nn 008mamaa241105s2024 sz | s |||| 0|eng d a97830316585497 a10.1007/978-3-031-65854-92doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aManagement of Uncertainty Using Linguistic Z-Numbersh[electronic resource] :bApplications for Decision-Making, Granular Computing and Social Networks /cedited by Tofigh Allahviranloo, Sovan Samanta. a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024. aX, 336 p. 62 illus., 44 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aStudies in Fuzziness and Soft Computing,x1860-0808 ;v4340 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. 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. 0aComputational intelligence. 0aArtificial intelligence.14aComputational Intelligence.24aArtificial Intelligence.1 aAllahviranloo, Tofigh.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aSamanta, Sovan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303165853208iPrinted edition:z978303165855608iPrinted edition:z9783031658563 0aStudies in Fuzziness and Soft Computing,x1860-0808 ;v43440uhttps://doi.org/10.1007/978-3-031-65854-9