This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology. The numerical scale model provides a unified framework to connect different linguistic symbolic computational models for CWW, and the consistency-driven methodology customizes individuals' semantics to support linguistic group decision making by setting personalized numerical scales. The book is a valuable resource for researchers and postgraduates who are interested in CWW in linguistic decision making.

The first book to use the numerical scale model and consistency-driven methodology to support linguistic decision making Provides a comprehensive and accessible guide to different linguistic computational models Enables researchers to understand the connection between various linguistic computational models Provides researchers with a new way to deal with the fact that words mean different things for different people or in different contexts

Autorentext

Yucheng Dong is a Professor with the Business School of Sichuan University, China. His research interests include group decision making, consensus reaching process, and computing with words in decision making. He is the author or coauthor of over 50 refereed articles published in international journal including Decision Support Systems, European Journal of Operational Research, Group Decision and Negotiation, IEEE Transactions (TFS, SMC, TYB), Information Sciences, and Knowledge-based Systems, among others. Several of his papers (currently 4) are classed as highly cited by ISI

Inhalt
1 Introduction.- 2 Numerical Scale Model.- 3 A Unified Framework.- 4 Consistency of Interval-Like Reciprocal Preference Relations.- 5 Consistency-Driven Methodology.- 6 Applications in Various Decision Problems.