Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

Theories, Methods and Applications de

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Éditeur :

Springer


Paru le : 2024-07-16

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Description

This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.
Pages
198 pages
Collection
n.c
Parution
2024-07-16
Marque
Springer
EAN papier
9789819735839
EAN PDF
9789819735846

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
7117 Ko
Prix
147,69 €
EAN EPUB
9789819735846

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
27832 Ko
Prix
147,69 €

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