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Application of fuzzy theories to formulation of multi-objective design problemsMuch of the decision making in real world takes place in an environment in which the goals, the constraints, and the consequences of possible actions are not known precisely. In order to deal with imprecision quantitatively, the tools of fuzzy set theory can by used. This paper demonstrates the effectiveness of fuzzy theories in the formulation and solution of two types of helicopter design problems involving multiple objectives. The first problem deals with the determination of optimal flight parameters to accomplish a specified mission in the presence of three competing objectives. The second problem addresses the optimal design of the main rotor of a helicopter involving eight objective functions. A method of solving these multi-objective problems using nonlinear programming techniques is presented. Results obtained using fuzzy formulation are compared with those obtained using crisp optimization techniques. The outlined procedures are expected to be useful in situations where doubt arises about the exactness of permissible values, degree of credibility, and correctness of statements and judgements.
Document ID
19880064719
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dhingra, A. K.
(Purdue Univ. West Lafayette, IN, United States)
Rao, S. S.
(Purdue University West Lafayette, IN, United States)
Miura, H.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 13, 2013
Publication Date
September 1, 1988
Subject Category
Aircraft Design, Testing And Performance
Report/Patent Number
AIAA PAPER 88-4430
Accession Number
88A51946
Funding Number(s)
CONTRACT_GRANT: NCA2-223
Distribution Limits
Public
Copyright
Other

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