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© 2013

Credibilistic Programming

An Introduction to Models and Applications

Book

Part of the Uncertainty and Operations Research book series (UOR)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Xiang Li
    Pages 1-29
  3. Xiang Li
    Pages 31-44
  4. Xiang Li
    Pages 45-71
  5. Xiang Li
    Pages 73-101
  6. Xiang Li
    Pages 103-117
  7. Xiang Li
    Pages 119-129
  8. Xiang Li
    Pages 131-141
  9. Back Matter
    Pages 143-144

About this book

Introduction

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.

Keywords

Credibility measure Entropy optimization model Fuzzy variable Portfolio analysis Regret minimization model

Authors and affiliations

  1. 1.Beijing University of Chemical TechnologBeijingChina, People's Republic

Bibliographic information

  • Book Title Credibilistic Programming
  • Book Subtitle An Introduction to Models and Applications
  • Authors Xiang Li
  • Series Title Uncertainty and Operations Research
  • Series Abbreviated Title Uncertainty and Operations Research
  • DOI https://doi.org/10.1007/978-3-642-36376-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics Business and Management (R0)
  • Hardcover ISBN 978-3-642-36375-7
  • Softcover ISBN 978-3-642-42717-6
  • eBook ISBN 978-3-642-36376-4
  • Series ISSN 2195-996X
  • Series E-ISSN 2195-9978
  • Edition Number 1
  • Number of Pages IX, 144
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Operations Research/Decision Theory
    Artificial Intelligence
    Mathematics, general
  • Buy this book on publisher's site

Reviews

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)