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    This was brought to you by:

    block this user Zsolt Johanyak Trusted member

    Associate Professor

    Kecskemét College, Institute of Information Technologies, Kecskemét, Hungary

    Distance based similarity measures of fuzzy sets

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    Abstract: In case of fuzzy reasoning in sparse fuzzy rule bases, the question of selecting the suitable fuzzy similarity measure is essential. The rule antecedents of the sparse fuzzy rule bases are not fully covering the input universe therefore fuzzy reasoning methods applied for sparse fuzzy rule bases requires similarity measures able to distinguish the similarity of non-overlapping fuzzy sets, too. The goal of this paper is enumerating some of these distance based similarity measures and briefly introducing them.

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    Title : Distance based similarity measures of fuzzy sets
    Abstract : Abstract: In case of fuzzy reasoning in sparse fuzzy rule bases, the question of selecting the suitable fuzzy similarity measure is essential. The rule antecedents of the sparse fuzzy rule bases are not fully covering the input universe therefore fuzzy reasoning methods applied for sparse fuzzy rule bases requires similarity measures able to distinguish the similarity of non-overlapping fuzzy sets, too. The goal of this paper is enumerating some of these distance based similarity measures and briefly introducing them.
    Subject : unspecified
    Area : Education
    Language : English
    Affiliations : 
    Url : http://informatika.gamf.hu/kutatas/jcs_sami05pb.pdf
    Doi : 10.1.1.140.1713

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