A fuzzy linear programming-based classification method

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Li, Aihua, Shi, Yong, He, Jing and Zhang, Yanchun (2011) A fuzzy linear programming-based classification method. International Journal of Information Technology and Decision Making, 10 (6). pp. 1161-1174. ISSN 0219-6220

Abstract

Multiple criteria linear programming and multiple criteria quadratic programming classification models have been applied in some field in financial risk analysis and credit risk control such as credit cardholders’ behavior analysis. In this paper, a fuzzy linear programming classification method with soft constraints and criteria was proposed based on the previous findings from other researchers. In this method, the satisfied result can be obtained through selecting constraint and criteria boundary variable di∗, respectively. A general framework of this method is also constructed. Two real-life datasets, one from a major USA bank and the other from a database of KDD 99, are used to test the accurate

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Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/10380
DOI	10.1142/S0219622011004750
Official URL	http://dx.doi.org/10.1142/S0219622011004750
Subjects	Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords	ResPubID25063, classification, data mining, MCLP, fuzzy linear programming, FLP, membership, function, distance measurements, human decision making, credit cardholder, multiple criteria linear programming, MCLP, multiple criteria quadratic programming classification model, MCQP
Citations in Scopus	10 - View on Scopus
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