计算机科学 ›› 2016, Vol. 43 ›› Issue (3): 68-71.doi: 10.11896/j.issn.1002-137X.2016.03.013

• 第十五届中国机器学习会议 • 上一篇    下一篇

基于真值支持度的直觉模糊推理方法

徐本强,谭雪微,邹丽   

  1. 辽宁师范大学计算机与信息技术学院 大连116081,辽宁师范大学计算机与信息技术学院 大连116081,辽宁师范大学计算机与信息技术学院 大连116081;南京大学计算机软件新技术国家重点实验室 南京210093
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(61105059,5,61173100),辽宁省自然科学基金项目计划(2015020059)资助

Intuitionistic Fuzzy Reasoning Based on Truth-valued Support Degrees

XU Ben-qiang, TAN Xue-wei and ZOU Li   

  • Online:2018-12-01 Published:2018-12-01

摘要: 为了降低直觉模糊集在推理过程中需要同时考虑隶属度和非隶属度两方面运算的复杂性,提出了一种基于真值支持度的直觉模糊推理方法,研究了强真度、真值支持度及其相关性质,并将强真度和真值支持度引入到推理中,给出真值支持度的直觉模糊推理算法及计算步骤,并以具体算例验证了该方法的正确性和有效性。

关键词: 直觉模糊集,强真度,真值支持度,直觉模糊推理

Abstract: In order to reduce the complexity of the operation of the intuitionistic fuzzy set,membership degree and the non-membership degree were considered at the same time in the process of reasoning.In this paper,intuitionistic fuzzy reasoning method based on the truth-valued support degrees was proposed.Strong-truth degrees,truth-valued support degrees were studied and their related properties were get.The method of intuitionistic fuzzy reasoning based on the truth-valued support degrees and detailed steps for reasoning computation were given.A concrete example was given to de-monstrate the correctness and validity of the method.

Key words: Intuitionistic fuzzy set,Strong-truth degrees,Truth-valued support degrees,Intuitionistic fuzzy reasoning

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