Abstract | ||
---|---|---|
The foundation of most defuzzification approaches for Type-II fuzzy set are based on iterative algorithms. Although these approaches have been reported to be successful, many real-time applications still suffer from being computationally expensive. This issue seems more critical when general type-II fuzzy sets (GT2FS) are used. In this paper, we use two remarkable concepts in fuzzy set, i.e., alpha-plane and alpha-cut in order to propose a novel method for computing the centroid defuzzification of a GT2FS. As results show, the proposed method has a low computation load, while showing the comparable or superior outcomes in comparison with other leading competitive approaches. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/mwscas.2018.8623950 | Midwest Symposium on Circuits and Systems Conference Proceedings |
Keywords | Field | DocType |
Type II fuzzy set,Centroid,(alpha)over-tilde-Plane,alpha-Cut,Defuzzification | Defuzzification,Computer science,Algorithm,Control engineering,Fuzzy set,Centroid,Computation | Conference |
ISSN | Citations | PageRank |
1548-3746 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Farnaz Sabahi | 1 | 0 | 0.34 |
Fahimeh Rookhosh | 2 | 0 | 0.34 |
Farzad Sabahi | 3 | 0 | 1.01 |