Xiang Li

Credibilistic Programming (eBook, PDF)

An Introduction to Models and Applications

• Format: PDF

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer Berlin
• Erscheinungstermin: 29. März 2013
• Englisch
• ISBN-13: 9783642363764
• Artikelnr.: 38441144

Inhaltsangabe

Preface.- Credibility Theory.- Credibilistic Programming.- Mathematical Programming.- Expected Value Model.- Chance-Constrained Programming.- Entropy Maximization Model.- Cross-Entropy Minimization Model.- Regret Minimization Model.

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Preface.- Credibility Theory.- Credibilistic Programming.- Mathematical Programming.- Expected Value Model.- Chance-Constrained Programming.- Entropy Maximization Model.- Cross-Entropy Minimization Model.- Regret Minimization Model.

Rezensionen

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 Fullér, 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)