基于极大模糊熵原理的模糊推理反向三I算法

A Reverse Triple I Algorithm for Fuzzy Reasoning Based on Maximum Fuzzy Entropy Principle

摘要: 提出了用模糊熵来度量反向三I模糊推理结果的模糊程度，给出了模糊熵反向三I原则，讨论了FMP和FMT问题的模糊熵反向三I支持算法解存在的条件，分别给出了几个常见蕴涵算子的FMP问题与FMT问题的模糊熵反向三I解的计算公式.

Abstract: The fuzzy degree of a fuzzy reverse triple I inference conclusion is measured by fuzzy entropy, and a fuzzy entropy reverse triple I principle is introduced. Existence conditions of solutions are discussed for the fuzzy entropy reverse triple I algorithms for FMP and FMT problems, and the computing formulas of the algorithm based on some common implication operators are provided.