期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：73-80
语种：English
出版社：Ayushmaan Technologies
摘要：In this paper, we explore the applicability of Subtractive Clustering Technique (SCT) to student allocation problem that allocates new students to homogenous groups of specified maximum capacity, and analyze effects of such allocations on the academic performance of students. The paper also presents a Fuzzy set, Subtractive Clustering Technique (SCT) and regression analysis based Subtractive Clustering Fuzzy Expert System (SCFES) model which is capable of dealing with imprecision and missing data that is commonly inherited in the student academic performance evaluation. This model automatically converts crisp sets into fuzzy sets by using SCT.
关键词：Fuzzy Logic;Data Clustering;Subtractive Clustering Techniques; Fuzzy Expert Systems;Membership Function and Academic Performance Evaluation.
