Fuzzy Horn clause rules can express human knowledge in natural language. However, it is difficult to discover fuzzy Horn clause rules and their implications. Starting from a logical point of view, this paper defines fuzzy Horn clause rules, support, implications and related concepts, analyzes the steps of fuzzy Horn clause rule discovery, and gives a formal description of the discovery algorithm. The algorithm combines the fuzzy Horn clause logic concept and the Apriori discovery algorithm to discover fuzzy Horn clause rules from a given quantitative database. Keywords: fuzzy Horn clause rules; support; implications; quantitative database
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