Ebook: Credibilistic Programming: An Introduction to Models and Applications
Author: Xiang Li (auth.)
- Tags: Management/Business for Professionals, Operation Research/Decision Theory, Artificial Intelligence (incl. Robotics), Mathematics general
- Series: Uncertainty and Operations Research
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
Content:
Front Matter....Pages I-IX
Credibility Theory....Pages 1-29
Credibilistic Programming....Pages 31-44
Expected Value Model....Pages 45-71
Chance-Constrained Programming Model....Pages 73-101
Entropy Optimization Model....Pages 103-117
Cross-Entropy Minimization Model....Pages 119-129
Regret Minimization Model....Pages 131-141
Back Matter....Pages 143-144
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.
Content:
Front Matter....Pages I-IX
Credibility Theory....Pages 1-29
Credibilistic Programming....Pages 31-44
Expected Value Model....Pages 45-71
Chance-Constrained Programming Model....Pages 73-101
Entropy Optimization Model....Pages 103-117
Cross-Entropy Minimization Model....Pages 119-129
Regret Minimization Model....Pages 131-141
Back Matter....Pages 143-144
....
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