Rule induction based on rough sets from information tables having continuous domains
نویسندگان
چکیده
منابع مشابه
Knowledge Reduction and Probability Rule Induction Based on Rough Sets
Rough sets theory is a traditional method for information reduction and rules acquisition under the circumstance of incomplete information. In this paper, the new version of reduction algorithm based on discernibility matrix was proposed through revising the common algorithm. The new algorithm is more efficient in finding out the criminal attribute. In the decision information system,using the ...
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The original rough set theory deals with precise and complete data, while real applications frequently contain imperfect information. A typical imperfect data studied in rough set research is the missing values. Though there are many ideas proposed to solve the issue in the literature, the paper adopts a probabilistic approach, because it can incorporate other types of imperfect data including ...
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Problems of using elements of rough sets theory and rule induction to create efficient classifiers are discussed. In the last decade many researches attempted to increase a classification accuracy by combining several classifiers into integrated systems. The main aim of this paper is to summarize the author’s own experience with applying one of his rule induction algorithm, called MODLEM, in th...
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ژورنال
عنوان ژورنال: CAAI Transactions on Intelligence Technology
سال: 2019
ISSN: 2468-2322,2468-2322
DOI: 10.1049/trit.2019.0025