Journal of Jilin University Science Edition ›› 2025, Vol. 63 ›› Issue (2): 391-0398.

Previous Articles     Next Articles

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

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

CLC Number: 

  • O159