Linguistic Decision Making

Numerical Scale Model and Consistency-Driven Methodology
1. Auflage 2019
ISBN: 978-981-13-2915-9
Verlag: Springer Nature Singapore

Buch, Englisch, 209 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 500 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Jiuping

Dong, Yucheng

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Semantik & Pragmatik
• Geisteswissenschaften Sprachwissenschaft Psycholinguistik, Neurolinguistik, Kognition

Inhaltsverzeichnis

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.

Über Autor(innen)

Yucheng Dong is a Professor at the Business School of Sichuan University, China. His current research interests include linguistic decision making, group decision making, opinion dynamics, social network decision making. He is the author or coauthor of over 90 refereed articles published in international journals, a member of the editorial board of Information Fusion and the area editor of Computers and Industrial Engineering.
Jiuping Xu is a Cheung Kong Professor at the Business School of Sichuan University, China. He has published over 40 books, and he is the author or coauthor of more than 200 refereed articles published in international journals. Dr. Xu is the President of the International Society for Management Science and Engineering Management, and the Editor-in-Chief of the International Journal of Management Science and Engineering Management.