Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty : Theories, Methods and Applications

Zhen Zhang

ISBN 10: 9819735866 / ISBN 13: 9789819735860

Edité par Springer Nature Singapore, Springer Nature Singapore, 2025

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9789819735860

Détails bibliographiques

• Titre: Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty : Theories, Methods and Applications
• Éditeur: Springer Nature Singapore, Springer Nature Singapore
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 9819735866
• ISBN à 13 chiffres: 9789819735860
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 12 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 12 millimètres de profondeur
• Poids: 330 grammes

A propos de ce titre

Synopsis

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.