04448nam 22004695 450 991090378640332120250808085332.03-031-65854-X10.1007/978-3-031-65854-9(CKB)36527919500041(DE-He213)978-3-031-65854-9(EXLCZ)993652791950004120241105d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierManagement of Uncertainty Using Linguistic Z-Numbers Applications for Decision-Making, Granular Computing and Social Networks /edited by Tofigh Allahviranloo, Sovan Samanta1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (X, 336 p. 62 illus., 44 illus. in color.) Studies in Fuzziness and Soft Computing,1860-0808 ;4343-031-65853-1 1. 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.This 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.Studies in Fuzziness and Soft Computing,1860-0808 ;434Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.006.3Allahviranloo Tofighedthttp://id.loc.gov/vocabulary/relators/edtSamanta Sovanedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910903786403321Management of Uncertainty Using Linguistic Z-Numbers4273117UNINA