By Shuming Wang,Junzo Watada
In 2014, winner of "Outstanding publication Award" via The Japan Society for Fuzzy concept and clever Informatics.
Covering intimately either theoretical and functional views, this e-book is a self-contained and systematic depiction of present fuzzy stochastic optimization that deploys the bushy random variable as a center mathematical instrument to version the built-in fuzzy random uncertainty. It proceeds in an orderly type from the considered necessary theoretical elements of the bushy random variable to fuzzy stochastic optimization versions and their real-life case studies.
The quantity displays the truth that randomness and fuzziness (or vagueness) are significant assets of uncertainty within the actual international, with major implications in a few settings. In business engineering, administration and economics, the probabilities are excessive that call makers should be faced with info that's at the same time probabilistically doubtful and fuzzily obscure, and optimization within the type of a choice has to be made in an atmosphere that's doubly doubtful, characterised through a co-occurrence of randomness and fuzziness. This booklet starts through outlining the heritage and improvement of the bushy random variable earlier than detailing various optimization versions and purposes that come with the layout of process controls for a dam.
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Extra resources for Fuzzy Stochastic Optimization: Theory, Models and Applications
Fuzzy Stochastic Optimization: Theory, Models and Applications by Shuming Wang,Junzo Watada