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Management of uncertainty using linguistic Z-numbersapplications for decision-making, granular computing and social networks /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Management of uncertainty using linguistic Z-numbersedited by Tofigh Allahviranloo, Sovan Samanta.
Reminder of title:	applications for decision-making, granular computing and social networks /
other author:	Allahviranloo, Tofigh.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 336 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Multiple criteria decision making.
Online resource:	https://doi.org/10.1007/978-3-031-65854-9
ISBN:	9783031658549$q(electronic bk.)

Management of uncertainty using linguistic Z-numbersapplications for decision-making, granular computing and social networks /
Management of uncertainty using linguistic Z-numbersapplications for decision-making, granular computing and social networks /[electronic resource] :edited by Tofigh Allahviranloo, Sovan Samanta. - Cham :Springer Nature Switzerland :2024. - x, 336 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v. 4341860-0808 ;. - Studies in fuzziness and soft computing ;v.273..

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.

ISBN: 9783031658549$q(electronic bk.)

Standard No.: 10.1007/978-3-031-65854-9doiSubjects--Topical Terms:

219475
Multiple criteria decision making.

LC Class. No.: QA279.4

Dewey Class. No.: 658.403

Management of uncertainty using linguistic Z-numbersapplications for decision-making, granular computing and social networks /
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520 $a 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.
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