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

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.

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Publication Details

Journal
Research on Intelligent Manufacturing and Assembly
Published
2025-02-28
DOI
https://doi.org/10.25082/rima.2025.01.001
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
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article

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

Jie Yu, Maosheng Zheng
Research on Intelligent Manufacturing and Assembly
Design Education and Practice
article

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

Jie Yu, Maosheng Zheng
article en

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.

Research on Intelligent Manufacturing and AssemblyVol. 4(1)
Northwest University (CN)
Openalex Percentile: Top 97%
Design Education and Practice
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