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• W2556974414 abstract "Fuzzy associational analysis (FAA) is useful for solving various regression tasks. Mined fuzzy associations can be used as fuzzy IF-THEN rules in a fuzzy expert system, which is then able to predict some variable that appears on the right hand side of IF-THEN rules. In this paper we investigate fuzzy IF-THEN rules reduction methods. We propose a new probabilistic data coverage measure for evaluating quality of a set of IF-THEN rules. We also propose a rule reduction procedure based on this measure and compare it theoretically and experimentally in the context of Perception-based Logical Deduction." @default.
• W2556974414 created "2016-11-30" @default.
• W2556974414 creator A5073628300 @default.
• W2556974414 date "2016-07-01" @default.
• W2556974414 modified "2023-09-26" @default.
• W2556974414 title "Probabilistic coverage of linguistic IF-THEN rules" @default.
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• W2556974414 doi "https://doi.org/10.1109/fuzz-ieee.2016.7737769" @default.
• W2556974414 hasPublicationYear "2016" @default.
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