Fuzzy Logic in Management / Edition 1

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Overview

Implicitly the book develops themes that successful companies should use to (1) master effectiveness and quality in both the details and the whole, (2) build on and work with flexibility, and (3) support continuous learning in both the organizational and the individual level.
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Editorial Reviews

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From the reviews:

"This well-written book presents application of fuzzy logic in the area of management. The book starts with a gentle introduction to management and decision support systems, which is followed by … the principles of fuzzy sets and fuzzy logic arithmetic. … The book concludes with … applications of fuzzy logic to mobile technology, including how mobile technology can be supported with software agents." (Efstratios Rappos, Zentralblatt MATH, Vol. 1092 (18), 2006)

"This book presents how fuzzy logic can be applied to handle the uncertainty in management … . I found this book interesting and informative … . the readers interested in the field of knowledge management and fuzzy logic will also find it pleasant reading. … It contains the right material and is written in a way that someone new to the subject should find relatively easy to understand. … I highly recommend it for someone looking to apply fuzzy logic for knowledge management … ." (R Qu, Journal of the Operational Research Society, Vol. 56 (6), 2005)

"It is quite well written and offers detailed presentations of a wide range of application areas with a presentation style that is easy to follow. … For a university course taught in the right context and at the right level, this would even make a great textbook. … Overall, this compact book contains an impressive level of detail both in fundamental concepts and in the details of the applications. This is a mandatory source for anyone interested in advanced methodological applications of management." (H. W. Lewis, III, International Journal of General Systems, Vol. 34 (3), 2005)

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Product Details

Table of Contents

List of Figures
List of Tables
Introduction
1 Management and Intelligent Support Technologies 1
2 Fuzzy Sets and Fuzzy Logic 29
3 Group Decision Support Systems 57
4 Fuzzy Real Options for Strategic Planning 127
5 A Fuzzy Approach to Reducing the Bullwhip Effect 143
6 Knowledge Management 163
7 Mobile Technology Applications 235
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