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Proceedings Paper

Process capability analysis using fuzzy sets theory
Author(s): Jairo Munoz
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Paper Abstract

If tolerances are defined by crisp numerical values, several vehicles based on probabilities and classical statistics exist to conduct a process capability analysis. If data are categorical, however, and if they are obtained from subjective evaluations, the existing methods are inappropriate. Furthermore, if specifications are set in lexical terms or are loosely defined, current approaches are impossible to implement. This paper applies fuzzy logic theory to study process capability in the presence of uncertainty and categorical data. Examples are discussed using TIG welding experimental data.

Paper Details

Date Published: 22 December 1993
PDF: 12 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165027
Show Author Affiliations
Jairo Munoz, Univ. of Colorado/Boulder (United States)


Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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