Fuzzy Stochastic Optimization: Theory, Models and Applications Hardcover – March 21, 2012
by Shuming Wang  (Author), Junzo Watada (Author)

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.

http://www.amazon.com/Fuzzy-Stochastic-Optimization-Theory-Applications/dp/1441995595/ref=sr_1_1?ie=UTF8&qid=1425801176&sr=8-1&keywords=Fuzzy+Stochastic+Optimization

Hardcover: 266 pages
Publisher: Springer; 2012 edition (March 21, 2012)
Language: English
ISBN-10: 1441995595
ISBN-13: 978-1441995599
Product Dimensions: 9.2 x 6.1 x 0.6 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
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Amazon Best Sellers Rank: #5,564,925 in Books (See Top 100 in Books)