Name
Abstract | ||
|---|---|---|
In this paper, an efficient centroid type-reduction strategy for general type-2 fuzzy set is introduced. This strategy makes use of the result of @a-plane representation, and performs the centroid type-reduction on each @a-plane. Simulations show that it usually needs only several resolution of @a value such that the defuzzified value converges to a real value. Consequently, comparing with the exhaustive computation approach, this approach can tremendously decrease the computation complexity from exponential into linear. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.ins.2007.11.014 | Inf. Sci. |
Keywords | Field | DocType |
defuzzified value converges,exhaustive computation approach,a-plane representation,real value,computation complexity,efficient centroid type-reduction strategy,centroid type-reduction,type-2 fuzzy logic system,type-2 fuzzy set,computational complexity | Reduction strategy,Fuzzy classification,Fuzzy set operations,Artificial intelligence,Fuzzy number,Discrete mathematics,Mathematical optimization,Defuzzification,Fuzzy logic,Type-2 fuzzy sets and systems,Machine learning,Centroid,Mathematics | Journal |
Volume | Issue | ISSN |
178 | 9 | 0020-0255 |
Citations | PageRank | References |
104 | 3.04 | 10 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feilong Liu | 1 | 429 | 15.52 |