Assessment of linguistic dynamic cause-and-effect rules with delays

A data-driven procedure is used to find linguistic rules that describe a dynamic process. In order to select valid rules, the concept of trip is proposed to reveal a rule status in a Truth Space Diagram (TSD). Based upon the trip, a normalized metric is proposed to assess a rule, which then makes the comparison possible among rules with the same antecedent but conflicting consequents. In addition, a novel rule structure is proposed to include linguistic delays. The procedure is evaluated.

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