期刊
INFORMATION SCIENCES
卷 178, 期 9, 页码 2224-2236出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2007.11.014
关键词
general type-2 fuzzy logic system; alpha-Plane; Centroid type-reduction; fuzzy weighted average; Karnik-Mendel algorithm
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. (c) 2007 Elsevier Inc. All rights reserved.
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