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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
