Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
394951 | Information Sciences | 2008 | 13 Pages |
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 α-plane representation, and performs the centroid type-reduction on each α-plane. Simulations show that it usually needs only several resolution of α 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.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Feilong Liu,