Open Access Peer-reviewed Research Article

A Fuzzification Measure of Robust Design in Condition of "Desired Target Being Best" in Design

Main Article Content

Maosheng Zheng corresponding author
Jie Yu

Abstract

In the present article, a fuzzification measure of robust design in condition of "desired target being best" is regulated, which consists of the "complement" of the membership value of objective response and PMOO. The mean value of "complement" of the membership value of a set of test data of objective response belonging to its desired target value in fuzzification is taken as an indicator to join the assessment of the 1st part of partial preferable probability of the objective; the dispersion of a set of test data in term of membership with regard to the desired target value is taken as the other indicator to participate the assessment of the 2nd part of partial preferable probability of the objective. Moreover, the fuzzification measure of robust design is regulated in term of PMOO. As utilizations, two instances are presented to illuminate the regulation in design.

Keywords
fuzzification, membership value, robust design, target being best

Article Details

How to Cite
Zheng, M., & Yu, J. (2025). A Fuzzification Measure of Robust Design in Condition of "Desired Target Being Best" in Design. Research on Intelligent Manufacturing and Assembly, 4(1), 138-143. https://doi.org/10.25082/RIMA.2025.01.001

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