Fuzzy rule bases with generalized belief structure inputs

被引:31
作者
Yager, Ronald R. [1 ]
机构
[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA
关键词
Fuzzy systems modeling; Measure; Uncertainty; Interval value; Dempster-Shafer belief structure; LINGUISTIC-SYNTHESIS;
D O I
10.1016/j.engappai.2018.03.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We first describe the basics of fuzzy systems modeling. Fundamental to this is a collection of rules, a rule base, in which the rule antecedents are fuzzy subsets. We first look at issue of the determination of the firing level of a rule for fuzzy set inputs and the subsequent rule base output. We next consider the situation where the system input is uncertain and modeled by a Dempster-Shafer belief structure. Here our input is a collection of fuzzy subsets and the true input fuzzy set is selected based on a probability distribution over these potential input fuzzy sets. We next consider the situation where our input is modeled via a generalized belief structure where the determination of applicable input fuzzy set is modeled via a measure over these potential input fuzzy sets.
引用
收藏
页码:93 / 98
页数:6
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