Credibilistic Programming An Introduction to Models and Applications [Paperback]

It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.Preface.- Credibility Theory.- Credibilistic Programming.- Mathematical Programming.- Expected Value Model.- Chance-Constrained Programming.- Entropy Maximization Model.- Cross-Entropy Minimization Model.- Regret Minimization Model.

From the reviews:

This book summarizes the basic principles of credibilistic programming and its applications to fuzzy portfolio selection problems. & used as a textbook at the graduate level and also as a reference guide for mathematicians who are interested in credibility theory in a fuzzy environment. (R?bert Full?r, Mathematical Reviews, November, 2013)

The author of this book explores a specialized fuzzy measure and its application for developing solutions to several optimization problems. & this book is inspirational and motivational. It is also a concise, well-written display of definitions, characterizations, and applications for real-life decision making. (Goran Trajkovski, Computing Reviews, August, 2013)It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.

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