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Fuzzy compromise: An effective way to solve hierarchical design problemsIn this paper, we present a method for modeling design problems using a compromise decision support problem (DSP) incorporating the principles embodied in fuzzy set theory. Specifically, the fuzzy compromise decision support problem is used to study hierarchical design problems. This approach has the advantage that although the system modeled has an element of uncertainty associated with it, the solution obtained is crisp and precise. The efficacy of incorporating fuzzy sets into the solution process is discussed in the context of results obtained for a portal frame.
Document ID
19940004680
Document Type
Conference Paper
Authors
Allen, J. K. (Janco Research Houston, TX, United States)
Krishnamachari, R. S. (Houston Univ. TX., United States)
Masetta, J. (Houston Univ. TX., United States)
Pearce, D. (Houston Univ. TX., United States)
Rigby, D. (Houston Univ. TX., United States)
Mistree, F. (Houston Univ. TX., United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Langley Research Center, The Third Air Force(NASA Symposium on Recent Advances in Multidisciplinary Analysis and Optimization
Subject Category
NUMERICAL ANALYSIS
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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