Abstract
Although process capability indices (PCIs), which are very useful statistical values to summarize process’ dispersion and location, have usability in a wide range, they have some limitations because of crisp definitions of the parameters. Crisp definitions of PCIs cause handicaps for a deep and flexible analysis on process capability analysis (PCA). The fuzzy set theory can be used effectively to add more information and flexibility to PCIs. In this paper the one of the most used PCIs which is called process accuracy index (Ca) is analyzed based on fuzzy specification limits and fuzzy process mean. The fuzzy formulations of the index Ca are derived for triangular (TFN) and trapezoidal fuzzy numbers (TrFN).
| Original language | English |
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| Title of host publication | Computational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010 |
| Editors | Da Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu |
| Publisher | World Scientific Publishing Co. Pte Ltd |
| Pages | 215-221 |
| Number of pages | 7 |
| ISBN (Electronic) | 9814324698, 9789814324694 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | Computational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010 - Emei, Chengdu, China Duration: 2 Aug 2010 → 4 Aug 2010 |
Publication series
| Name | Computational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010 |
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Conference
| Conference | Computational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010 |
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| Country/Territory | China |
| City | Emei, Chengdu |
| Period | 2/08/10 → 4/08/10 |
Bibliographical note
Publisher Copyright:© 2010 by World Scientific Publishing Co. Pte. Ltd.