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Vol. 168, Issue 4, April 2014, pp. 45-52




The Research of Algorithm for Data Mining Based on Fuzzy Theory

Wang Aimin, Li Pengwei

School of Computer and Information Engineering, Anyang Normal University, 455000, China
Tel.: +86-372-2900207, fax: +86-372-2900207

E-mail: wam508@126.com


Received: Accepted: Published:

Digital Sensors and Sensor Sysstems


Abstract: Data Mining is a new filed in data processing research. Support Vector Machine (SVM) is one of the new methods using in data mining, which has gained great applicable success. However, there are still plenty of limitations in SVM. For example, SVM won’t work if its training set contains uncertain information. In order to solve the problem presented above, this paper discusses the constraining programming of fuzzy chance and the characteristic of fuzzy classification as well as its expression methods. The algorithm for classifying Support Vector Machine is also included in this paper.


Keywords: data mining, fuzzy programming, fuzzy classification, fuzzy linear separable, algorithm


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