Abstract
In this study, a fast and steady defuzzification method (the limited embedded sets algorithm) for general type-2 fuzzy sets is introduced. Depending on the generalized centroid of general type-2 fuzzy sets and the reduction of the encountered embedded fuzzy sets, this algorithm develops fast (save more than 60% time than the geometric method) and steadily (the deviation is 0 with several runs). To show the performance, experimental studies are reported based on two kinds of general type-2 fuzzy sets-the triangular primary and triangular secondary fuzzy set (symmetric) and the parabolic primary and triangular secondary fuzzy set (asymmetric).
| Original language | English |
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| Publication status | Published - 2017 |
| Event | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, China Duration: 2 Nov 2017 → 5 Nov 2017 |
Conference
| Conference | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 |
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| Country/Territory | China |
| City | Beijing |
| Period | 2/11/17 → 5/11/17 |
Keywords
- Centroid
- Defuzzification
- Fast and steady algorithm
- General type-2 fuzzy sets