Consumer-centered product design specifications using fuzzy multivariate regression analysis

H. P. Kao, D. L. Kimbler, C. H. Juang, W. C. Bridges

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To optimize product design, it is desirable that a functional model that describes the correlation between the product attributes and the design specifications is available. A new methodology which uses multivariate regression analysis is combined with fuzzy set theory to model the correlation between consumer-perceived product quality attributes and designer-controlled design factors. The fuzzy regression model is then utilized to predict the quality level of the intended design. This method is most suitable when a product has multiple quality attributes that could best be evaluated using linguistic terms.

Original languageEnglish
Title of host publicationProceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages387-392
Number of pages6
ISBN (Electronic)0818638508, 9780818638503
DOIs
StatePublished - 1993
Event2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993 - College Park, United States
Duration: 25 Apr 199328 Apr 1993

Publication series

NameProceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993

Conference

Conference2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
Country/TerritoryUnited States
CityCollege Park
Period25/04/9328/04/93

Fingerprint

Dive into the research topics of 'Consumer-centered product design specifications using fuzzy multivariate regression analysis'. Together they form a unique fingerprint.

Cite this