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

Hou Jian; Peng Jiayin; Zhang Yuzhuo; Zhang Chengyi

Journal of Computer Research and Development > 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.

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

1(School of Mathematical Sciences, Beijing Normal University, Beijing 100875) 2(Department of Mathematics, Neijiang Teachers College, Sichuan Neijiang 641112) 3(Department of Computer Science and Education Technology, Hainan Normal University, Haikou 571158)

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Published Date: July 14, 2006

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Abstract

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.

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