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Amo, Ana del and Montero, Javier and Binging, Gregory and Cutello, V. (2004) Fuzzy classification systems. European journal of operational research, 156 (2). pp. 495-507. ISSN 0377-2217
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Official URL: http://www.sciencedirect.com/science/article/pii/S037722170300002X
Abstract
In this paper it is pointed out that a classification is always made taking into account all the available classes, i.e., by means of a classification system. The approach presented in this paper generalizes the classical definition of fuzzy partition as defined by Ruspini, which is now conceived as a quite often desirable objective that can be usually obtained only after a long learning process. In addition, our model allows the evaluation of the resulting classification, according to several indexes related to covering, relevance and overlapping.
Item Type: | Article |
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Uncontrolled Keywords: | Fuzzy sets; Fuzzy partition; Multicriteria analysis |
Subjects: | Sciences > Computer science > Artificial intelligence Sciences > Mathematics > Logic, Symbolic and mathematical |
ID Code: | 16678 |
Deposited On: | 11 Oct 2012 09:30 |
Last Modified: | 03 Aug 2018 11:07 |
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