吉林大学学报(理学版) ›› 2025, Vol. 63 ›› Issue (2): 391-0398.

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基于直觉相似度的反向三I算法的鲁棒性

袁一丹, 惠小静, 王前   

  1. 延安大学 数学与计算机科学学院, 陕西 延安 716000
  • 收稿日期:2024-05-16 出版日期:2025-03-26 发布日期:2025-03-26
  • 通讯作者: 惠小静 E-mail:xhmxiaojing@163.com

Robustness of Reverse Triple I Algorithm Based on Intuitionistic Similarity

YUAN Yidan, HUI Xiaojing, WANG Qian   

  1. School of Mathematics and Computer Science, Yan’an University, Yan’an 716000, Shaanxi Province, China
  • Received:2024-05-16 Online:2025-03-26 Published:2025-03-26

摘要: 以直觉相似度为扰动参数, 对直觉模糊取式(IFMP)、 直觉模糊拒取式(IFMT)问题的反向三I支持算法和反向三I约束算法进行鲁棒性估计, 结果表明, 输出的结果不会因为输入的微小改变而产生显著变化, 即两种算法均具有良好的鲁棒性.

关键词: 直觉模糊推理, 相似度, 反向三I支持算法, 反向三I约束算法, 鲁棒性

Abstract: By using the intuitionistic similarity as a perturbation parameter, we  estimated the robustness of the reverse triple I sustaining algorithm and reverse triple I restriction algorithm for IFMP and IFMT problems. The results show that the output results will not significantly change due to small changes in the input, indicating that both algorithms have good robustness.

Key words: intuitionistic fuzzy inference, similarity, reverse triple I sustaining algorithm, reverse triple I restriction algorithm, robustness

中图分类号: 

  • O159