Supervised fuzzy clustering for the identification of fuzzy classifiers
نویسندگان
چکیده
منابع مشابه
Supervised fuzzy clustering for the identification of fuzzy classifiers
The classical fuzzy classifier consists of rules each one describing one of the classes. In this paper a new fuzzy model structure is proposed where each rule can represent more than one classes with different probabilities. The obtained classifier can be considered as an extension of the quadratic Bayes classifier that utilizes mixture of models for estimating the class conditional densities. ...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2003
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(03)00047-3