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

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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

Item Type:	Article
Uncontrolled 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
Subjects:	FOR Classification > 0801 Artificial Intelligence and Image Processing Faculty/School/Research Centre/Department > Centre for Applied Informatics
Depositing User:	VUIR
Date Deposited:	05 Dec 2012 04:40
Last Modified:	28 Sep 2014 23:29
URI:	http://vuir.vu.edu.au/id/eprint/10380
DOI:	https://doi.org/10.1142/S0219622011004750
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Citations in Scopus:	10 - View on Scopus

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