Item description for Fuzzy Sets in Management, Economy & Marketing by P.M. Pardalos...
The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the most recent advances in the development of innovative techniques for managing the uncertainty that prevails in the global economic and management environments. These techniques originate mainly from fuzzy sets theory. However, the book also explores the integration of fuzzy sets with other decision support and modelling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, and so on. The presentation of the advances in these fields and their real world applications adds a new perspective to the broad fields of management science and economics.
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 8.5" Width: 6.22" Height: 0.79" Weight: 1.1 lbs.
Release Date Jan 15, 2002
Publisher World Scientific Publishing Company
ISBN 9810247532 ISBN13 9789810247539
Reviews - What do customers think about Fuzzy Sets in Management, Economy & Marketing?
Not a book about fuzzy sets Jan 28, 2002
The biggest shortcoming of this book is that there is nothing about fuzzy sets in it. Many of the articles have nothing to do with fuzzy anything at all (as fuzzy is commonly understood: membership functions, fuzzy logic, fuzzy set theory, etc). Those that do deal with "fuzzy" do so primarily by grafting triangular fuzzy numbers onto established algorithms, models or formulas.
The section on marketing is particular weak, almost to the point of being offensive, so if you're looking for application of fuzzy set theory to marketing, keep looking.
The utility of this book is much lower than either the highly accessible "Fuzzy Logic for Business, Finance, and Management" (Bojadziev) or the comprehensive and theoretically rigorous "Fuzzy Sets in Decision Analysis, Operations Research, and Statistics" (Slowinski).