Fuzzy modelling using fuzzy mathematical programming

In this paper we will describe several methods that solve, using mathematical programming, different problems that, although can be used in others fields in the fuzzy modelling context, we have used them in the of fuzzy classification context. These problems are: feature selection, rule selection and clustering. In order to evaluate the accuracy of these methods, a lot of data sets have been used. Two of these have been: the classical Iris data set and the Wisconsin Breast Cancer data set.

• Type: Conference
• Year: 2001
• Where: EUSFLAT
• Authors: José Manuel Cadenas, M. Carmen Garrido, J. J. Hernandez
• Keywords: Data Set, EUSFLAT 2001, EUSFLAT 2007, Fuzzy Classification Context, Fuzzy Modelling Context