Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

AngličtinaMěkká vazbaTisk na objednávku
Li Deng-Feng
Springer, Berlin
EAN: 9783662514269
Tisk na objednávku
Předpokládané dodání v pondělí, 10. února 2025
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Podrobné informace

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.

EAN 9783662514269
ISBN 3662514265
Typ produktu Měkká vazba
Vydavatel Springer, Berlin
Datum vydání 23. srpna 2016
Stránky 444
Jazyk English
Rozměry 235 x 155
Země Germany
Sekce Professional & Scholarly
Autoři Li Deng-Feng
Ilustrace XXI, 444 p. 23 illus.
Edice Softcover reprint of the original 1st ed. 2014
Série Studies in Fuzziness and Soft Computing