Description: Fuzzy Random Optimization : Theory, Models, and Algorithms, Hardcover by Wang, Shuming; Watada, Junzo, ISBN 1441995595, ISBN-13 9781441995599, Like New Used, Free shipping in the US
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.
Price: 125.35 USD
Location: Jessup, Maryland
End Time: 2024-12-27T14:33:42.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Fuzzy Random Optimization : Theory, Models, and Algorithms
Number of Pages: Xvi, 248 Pages
Language: English
Publication Name: Fuzzy Stochastic Optimization : Theory, Models and Applications
Publisher: Springer New York
Publication Year: 2012
Item Height: 0.2 in
Subject: Engineering (General), Intelligence (Ai) & Semantics, Optimization
Type: Textbook
Item Weight: 19.9 Oz
Item Length: 9.3 in
Author: Shuming Wang, Junzo Watada
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 6.1 in
Format: Hardcover