Ulteriori informazioni
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.
Sommario
Preface.- Credibility Theory.- Credibilistic Programming.- Mathematical Programming.- Expected Value Model.- Chance-Constrained Programming.- Entropy Maximization Model.- Cross-Entropy Minimization Model.- Regret Minimization Model.
Info autore
Carl Barks, geb. 1901 in Merrill, Oregon, war zunächst Zeichner für Trickfilme, bevor er mit Donald Duck den Durchbruch als Comiczeichner schaffte. Er starb im Jahr 2000.
Riassunto
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.
Testo aggiuntivo
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.” (Rόbert 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)
Relazione
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)
