IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection
نویسندگان
چکیده
منابع مشابه
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
Among the computational intelligence techniques employed to solve classification problems, Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their interpretable models based on linguistic variables, which are easier to understand for the experts or end-users. The aim of this paper is to enhance the performance of FRBCSs by extending the Knowledge Base with the appli...
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ژورنال
عنوان ژورنال: IEEE Transactions on Fuzzy Systems
سال: 2013
ISSN: 1063-6706,1941-0034
DOI: 10.1109/tfuzz.2013.2243153