期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 72, 期 -, 页码 93-98出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2018.03.005
关键词
Fuzzy systems modeling; Measure; Uncertainty; Interval value; Dempster-Shafer belief structure
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据