04857nam a22005295i 4500 978-3-031-65854-9 DE-He213 20251030113258.0 cr nn 008mamaa 241105s2024 sz | s |||| 0|eng d 9783031658549 978-3-031-65854-9 10.1007/978-3-031-65854-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Management of Uncertainty Using Linguistic Z-Numbers [electronic resource] : Applications for Decision-Making, Granular Computing and Social Networks / edited by Tofigh Allahviranloo, Sovan Samanta. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 336 p. 62 illus., 44 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Fuzziness and Soft Computing, 1860-0808 ; 434 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. Computational intelligence. 64052 Artificial intelligence. 58441 Computational Intelligence. 64052 Artificial Intelligence. 58441 Allahviranloo, Tofigh. editor. edt http://id.loc.gov/vocabulary/relators/edt 68757 Samanta, Sovan. editor. edt http://id.loc.gov/vocabulary/relators/edt 87013 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031658532 Printed edition: 9783031658556 Printed edition: 9783031658563 Studies in Fuzziness and Soft Computing, 1860-0808 ; 434 68285 https://doi.org/10.1007/978-3-031-65854-9 ZDB-2-INR ZDB-2-SXIT 64711 64711