Decision and Game Theory in Management With Intuitionistic Fuzzy Sets - LI, Deng-Feng
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The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and…mehr

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Produktbeschreibung
The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and games, which is not only remarkably different from those of the traditional, Bayes and/or fuzzy decision theory but can also provide an effective and efficient tool for solving complex management problems. Since there is a certain degree of inherent hesitancy in real-life management, which cannot always be described by the traditional mathematical methods and/or fuzzy set theory, this book offers an effective approach to using the intuitionistic fuzzy set expressed with membership and non-membership functions.

This book is addressed to all those involved in theoretical research and practical applications from a variety of fields/disciplines: decision science, game theory, management science, fuzzy sets, operational research, applied mathematics, systems engineering, industrial engineering, economics, etc.
Autorenporträt
Deng-Feng Li was born in 1965. He received the B.Sc. and M.Sc. degrees in applied mathematics from the National University of Defense Technology, Changsha, China, in 1987 and 1990, respectively, and the Ph.D. degree in system science and optimization from the Dalian University of Technology, Dalian, China, in 1995. From 2003 to 2004, he was a Visiting Scholar with the School of Management, University of Manchester Institute of Science and Technology, Manchester, U. K. He is currently a "Minjiang Scholar" Distinguished Professor and the assistant dean in the School of Management, Fuzhou University, China. He has authored more than 300 international journal papers and six monographs. He has coauthor of one monograph and three textbooks. He has coedited one proceeding of the international conference and one special issue "Fuzzy Nonlinear Programming with Applications in Decision Making" of Journal of Applied Mathematics. His current research interests include fuzzy game theory, fuzzy sets and fuzzy mathematical programming, group decision making, fuzzy optimization and differential game in economic management. He has earned more than 20 Scientific achievement awards such as the First Prize in Chinese State Natural Science Award and 2013 IEEE Computational Intelligence Society IEEE Transactions on Fuzzy Systems Outstanding paper award.
Rezensionen
From the book reviews:
"The main goal of the book under review is to establish theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets (IFS). ... the presented results are very useful for theoreticians and practitioners of decision-making." (Krzysztof Piasecki, zbMATH, Vol. 1291, 2014)