Titlebook: Inhibitory Rules in Data Analysis; A Rough Set Approach Pawel Delimata,Mikhail Ju. Moshkov,Zbigniew Suraj Book 2009 Springer-Verlag Berlin

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大約冬季

連詞

Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/466480.jpg

現(xiàn)存

978-3-642-09927-4Springer-Verlag Berlin Heidelberg 2009

Ige326

Inhibitory Rules in Data Analysis978-3-540-85638-2Series ISSN 1860-949X Series E-ISSN 1860-9503

消瘦

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Introduction,ision attribute. It is worthwhile mentioning that in the rough set approach the decision rules are used for extension of approximations of concepts from given samples of objects on the whole universe of objects (see, e.g., [5, 6, 75]).

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MAOIS

Partial Covers and Inhibitory Decision Rules with Weights,omputation, then we try to minimize total time complexity of computation of attributes from partial inhibitory decision rule. If weights characterize a risk of attribute value computation (as in medical or technical diagnosis), then we try to minimize total risk, etc.

無畏

Classifiers Based on Deterministic and Inhibitory Decision Rules,tic decision rule using the greedy algorithm. The obtained system of rules jointly with simple procedure of voting can be considered as a classifier. A deterministic rule, which is realizable for given object, is a vote “pro” the decision from the right-hand side of the rule.