Ya-Fang Tung

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Fuzzy data mining is used to extract fuzzy knowledge from linguistic or quantitative data. It is an extension of traditional data mining and the derived knowledge is relatively meaningful to human beings. In the past, we proposed a mining algorithm to find suitable membership functions for fuzzy association rules based on ant colony systems. In that(More)
—In the past, we proposed a mining algorithm to find suitable membership functions for fuzzy association rules based on the ant colony systems. In that approach, the precision was limited since binary bits were adopted to encode the membership functions. The paper thus extends the original approach for increasing the accuracy of the results by adding(More)
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