The Application of CRI Method in Fuzzy Reasoning

Abstract:

The paper discuss the application of CRI method in the fuzzy reasoning in the following three aspects: (1) the influence of different implication operators on the classification result; (2) the influence of different shape of triangles on the classification result when fuzzying the example as a triangle; (3) the influence of different compound algorithms on the classification result. The paper presents the maximum information entropy methods to calculate the classification result for a given rule and compares the CRI method with the similarity-based method in the fuzzy classification problems. The experiments show that choosing proper parameters can make the classification accuracy obtained by CRI method prior to the accuracy obtained by similarity-based method. Thereby proves the validity of CRI method in the classification problems.

• Periodical: Advanced Materials Research (Volume 748)
• Pages: 670-674
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.748.670
• Online since: August 2013
• Authors: Ying Xu, Hai Rong Wang, Yan Yan Wu
• Keywords: CRI Method, Implication Operators, Maximum Information Entropy

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