Robustness of reverse triple I algorithms based on interval-valued fuzzy inference

In this paper, the robustness of reverse triple I algorithms based on interval-valued fuzzy inference is discussed. As corollaries of the main results, the sensitivities of interval-valued R -type α , β -reverse triple I solutions based on three well-known interval-valued residuated implication operators are given. A new kind of full implication α , β -reverse triple I algorithm based on interval-valued fuzzy set is proposed.The R-type α , β -reverse triple I solutions based on interval-valued fuzzy inference for the both model of IFMP and IFMT are given.The reverse triple I algorithms based on interval-valued fuzzy set are robust.The sensitivities of reverse triple I algorithms based on three important interval-valued residuated implications are given.The robustness of interval-valued reverse triple I algorithms is directly linked to the selection of fuzzy connectives.