Type-2 genetic-fuzzy mining with tuning mechanism
2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)（2015）
摘要
In this paper, we propose an approach for mining both type-2 membership functions and fuzzy association rules. The 2-tuple linguistic representation is utilized to encode type-2 membership functions into chromosomes. After the genetic evolution, the tuned type-2 membership functions are used to induce fuzzy association rules. Experiments on a simulated dataset are made to show the merit of the proposed approach.
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关键词
2-tuple linguistic representation,fuzzy association rule,genetic algorithms,genetic-fuzzy mining,type-2 membership functions
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