• Title/Summary/Keyword: redundanat attribute

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The Optimal Reduction of Fuzzy Rules using a Rough Set (러프집합을 이용한 퍼지 규칙의 효율적인 감축)

  • Roh, Eun-Young;Chung, Hwan-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.881-886
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    • 2007
  • Fuzzy inference has the advantage which can process the ambiguous knowledge. However the associated attributes of fuzzy rules are difficult to determine useful and important rules because the redundant attribute of rules is more than enough. In this paper, we propose a method to minimize the number of rules and preserve the accuracy of inference results by using fuzzy relative cardinality after removing unnecessary attributes from rough set. From the experimental results, we can see the fact that the proposed method provides better results (e.g the number of rules) than those of general rough set with the redundant attributes.