Study on optimum design using fuzzy numbers as design variables

Masao Arakawa*, Hiroshi Yamakawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this study, we summarize the method of fuzzy optimization using fuzzy numbers as design variables. In order to detect flaw in fuzzy calculation, we use LR-fuzzy numbers, which is known as its simplicity in calculation. We also use simple fuzzy numbers operations, which was proposed in the previous papers. The proposed method has unique characteristics that we can obtain fuzzy sets in design variables (results of the design) directly from single numerical optimizing process. Which takes a large number of numerical optimizing processes when we try to obtain similar results in the conventional methods. In the numerical examples, we compare the proposed method with several other methods taking imprecision in design parameters into account, and demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Pages463-469
Number of pages7
Volume82
Edition1
Publication statusPublished - 1995
EventProceedings of the 1995 ASME Design Engineering Technical Conference - Boston, MA, USA
Duration: 1995 Sept 171995 Sept 20

Other

OtherProceedings of the 1995 ASME Design Engineering Technical Conference
CityBoston, MA, USA
Period95/9/1795/9/20

ASJC Scopus subject areas

  • General Engineering

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