期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 8, 页码 9947-9957出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.02.035
关键词
Fuzzy interpolative reasoning; Interval type-2 fuzzy sets; Ranking values; Sparse fuzzy rule-based systems
类别
资金
- National Science Council, Republic of China [NSC 95-2213-E-011-116-MY2]
Fuzzy rule interpolation is an important research topic of sparse fuzzy rule-based systems. In this paper, we present a new fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can deal with fuzzy interpolative reasoning in sparse fuzzy rule-based systems in a more flexible and more intelligent manner. (C) 2011 Elsevier Ltd. All rights reserved.
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