高级检索
    侯 健, 彭家寅, 张宇卓, 张诚一. 基于极大模糊熵原理的模糊推理反向三I算法[J]. 计算机研究与发展, 2006, 43(7): 1180-1185.
    引用本文: 侯 健, 彭家寅, 张宇卓, 张诚一. 基于极大模糊熵原理的模糊推理反向三I算法[J]. 计算机研究与发展, 2006, 43(7): 1180-1185.
    Hou Jian, Peng Jiayin, Zhang Yuzhuo, Zhang Chengyi. A Reverse Triple I Algorithm for Fuzzy Reasoning Based on Maximum Fuzzy Entropy Principle[J]. Journal of Computer Research and Development, 2006, 43(7): 1180-1185.
    Citation: Hou Jian, Peng Jiayin, Zhang Yuzhuo, Zhang Chengyi. A Reverse Triple I Algorithm for Fuzzy Reasoning Based on Maximum Fuzzy Entropy Principle[J]. Journal of Computer Research and Development, 2006, 43(7): 1180-1185.

    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.

       

    /

    返回文章
    返回