Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets

被引：41
作者：
Chen, Shyi-Ming [1 ]
Lee, Li-Wei [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 08期
关键词：
Fuzzy interpolative reasoning; Interval type-2 fuzzy sets; Ranking values; Sparse fuzzy rule-based systems; REPRESENTATION;
D O I：
10.1016/j.eswa.2011.02.035
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：9947 / 9957
页数：11
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