Fuzzy Stochastic Optimization
Theory, Models and Applications
(Sprache: Englisch)
In 2014, winner of "Outstanding Book Award" by The Japan Society for Fuzzy Theory and Intelligent Informatics.
Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy...
Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy...
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Klappentext zu „Fuzzy Stochastic Optimization “
In 2014, winner of "Outstanding Book Award" by The Japan Society for Fuzzy Theory and Intelligent Informatics.Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy stochastic optimization that deploys the fuzzy random variable as a core mathematical tool to model the integrated fuzzy random uncertainty. It proceeds in an orderly fashion from the requisite theoretical aspects of the fuzzy random variable to fuzzy stochastic optimization models and their real-life case studies.
The volume reflects the fact that randomness and fuzziness (or vagueness) are two major sources of uncertainty in the real world, with significant implications in a number of settings. In industrial engineering, management and economics, the chances are high that decision makers will be confronted with information that is simultaneously probabilistically uncertain and fuzzily imprecise, and optimization in the form of a decision must be made in an environment that is doubly uncertain, characterized by a co-occurrence of randomness and fuzziness. This book begins by outlining the history and development of the fuzzy random variable before detailing numerous optimization models and applications that include the design of system controls for a dam.
Inhaltsverzeichnis zu „Fuzzy Stochastic Optimization “
Autoren-Porträt von Junzo Watada, Shuming Wang
Dr. Junzo Watada is currently a full professor of Management Engineering, Knowledge Engineering and Soft Computing at Graduate School of Information, Production & Systems, Waseda University. He is the Principal Editor, a Co-Editor and an Associate Editor of various international journals, including International Journal of Biomedical Soft Computing and Human Sciences, ICIC Express Letters, International Journal of Systems and Control Engineering, and Fuzzy Optimization & Decision Making.
Bibliographische Angaben
- Autoren: Junzo Watada , Shuming Wang
- 2012, 264 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 1441995595
- ISBN-13: 9781441995599
- Erscheinungsdatum: 20.03.2012
Sprache:
Englisch
Rezension zu „Fuzzy Stochastic Optimization “
From the reviews:"Fuzzy stochastic optimization models can be divided into two main classes: single-stage and multistage models. The book consists of three parts: 'Theory', 'Models' and 'Real-life applications'. ... This book may be useful for students and researchers in uncertain programming." (Róbert Fullér, Mathematical Reviews, January, 2013)
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