Research on Information requirement of Zero-Order Universal Implication Operators in Fuzzy Reasoning

摘要

Based on the definition of linear specificity measure, this paper discusses detailedly the conditions on which the zero-order universal implication operators satisfy the information boundedness principle in fuzzy reasoning, and gets the conclusion: when propositions are restraining correlative, that is, their general correlation coefficient he [0, 0.5], the zero-order universal implication operators satisfy the information boundedness principle. This conclusion has important directive meaning for how to give the value of the general correlative coefficient h in practical control application.