Credibilistic Programming
An Introduction to Models and Applications
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
The quality of growth is critical to sustaining progress on the planet The book provides a critical message from China, one of the most important emerging powers with a far reaching impact on climate change and structural transformation The book is a result of a country owned process, emphasizes pro-poor growth, equal opportunities, energy efficiency, renewable energy? sources and environment protection Includes supplementary material: sn.pub/extras
Autor*in
Xiang Li
Themen in »Credibilistic Programming«
Credibility measure Entropy optimization model Fuzzy variable Portfolio analysis Regret minimization model
Stimmen zu »Credibilistic Programming«
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)()