Generalized hybrid method for fuzzy multiobjective optimization of engineering systems

S. S. Rao, Li Chen

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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 (US)
Pages (from-to)1709-1717
Number of pages9
JournalAIAA journal
Issue number8
StatePublished - Aug 1996
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering


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