Generalized hybrid method for fuzzy multiobjective optimization of engineering systems

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

A generalized hybrid approach is presented for the multiobjective optimization of engineering systems in the presence of objectives and constraints that are partly fuzzy and partly crisp. The methodology is based on both fuzzy-set and Dempster-Shafer theories to capture the features of incomplete, imprecise, uncertain, or vague information that is often present in real-world engineering systems. The original partly fuzzy multiobjective optimization problem is first defuzzified into a crisp generalized multiobjective optimization problem using fuzzy-set theory. The resulting multiobjective problem is then transformed into an equivalent single-objective optimization problem using a modified Dempster-Shafer theory. The computational details of the approach are illustrated with a structural design example.

Original languageEnglish
Pages (from-to)1709-1717
Number of pages9
JournalAIAA Journal
Volume34
Issue number8
StatePublished - Aug 1 1996
Externally publishedYes

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Multiobjective optimization
Systems engineering
Fuzzy set theory
Fuzzy sets
Structural design

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Generalized hybrid method for fuzzy multiobjective optimization of engineering systems. / Rao, Singiresu S; Chen, Li.

In: AIAA Journal, Vol. 34, No. 8, 01.08.1996, p. 1709-1717.

Research output: Contribution to journalArticle

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