© 1996 by A.E. Sepulveda and H. Jensen. The paper presents a methodology for the efficient solution of fuzzy optimization problems. Design variables, as well as problem parameters arc modeled as fuzzy numbers characterized by membership functions. An optimization approach based on approximation concepts is introduced. High quality approximations for system response functions are constructed using the concepts of intermediate response quantities and intermediate variables. These approximations are used to replace the solution of the original problem by a sequence of approximate problems. Optimization techniques for non-differentiable problems which arise in fuzzy optimization are used to solve the approximate optimization problems. Example problems are presented to illustrate the ideas set forth.
|Number of pages||9|
|Publication status||Published - 1 Jan 1996|
|Event||conference - |
Duration: 1 Jan 1996 → …
|Period||1/01/96 → …|
Sepulveda, A. E., & Jensen, H. (1996). 6th Symposium on Multidisciplinary Analysis and Optimization. 1743-1751. Paper presented at conference, . https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84982318962&origin=inward