A Study on Optimum Design Using Fuzzy Numbers as Design Variables (1st Report, Proposition of Optimum Design Method)

Masao Arakawa, Hiroshi Yamakawa

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In conventional optimization methods, designers have to set mathematical modeling, such as objective function, constraints and design parameters, strictly and quantitatively. But in actual design process, they do not treat all of these values strictly and some of them are somehow “fuzziness”. Recently, many studies have been done on fuzzy mathematical programming. In fuzzy nonlinear programming, a-level cut method is considered as the one of the most popular and useful method. But in this method, we cannot see the relationships between fuzziness in constraints and design variables. In this study, we assign fuzzy numbers to design variables, and propose the optimization method using fuzzy number as design variables. We applied the proposed method to a simple truss optimization problem and examined the effectiveness of the method through comparison with the conventional a-level cut method.

Original languageEnglish
Pages (from-to)1710-1715
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume58
Issue number550
DOIs
Publication statusPublished - 1992
Externally publishedYes

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Mathematical programming
Nonlinear programming
Optimum design

Keywords

  • Design Engineering
  • Fuzzy Number
  • Fuzzy Set Theory
  • Optimum Design

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

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