Credibilistic Programming
An Introduction to Models and Applications
(Sprache: Englisch)
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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Klappentext zu „Credibilistic Programming “
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.
Inhaltsverzeichnis zu „Credibilistic Programming “
Preface.- Credibility Theory.- Credibilistic Programming.- Mathematical Programming.- Expected Value Model.- Chance-Constrained Programming.- Entropy Maximization Model.- Cross-Entropy Minimization Model.- Regret Minimization Model.
Bibliographische Angaben
- Autor: Xiang Li
- 2013, IX, 144 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 364236375X
- ISBN-13: 9783642363757
- Erscheinungsdatum: 10.04.2013
Sprache:
Englisch
Rezension zu „Credibilistic Programming “
From the reviews:"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
Pressezitat
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)
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