ROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC
عنوان مقاله: ROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC
شناسه ملی مقاله: JR_IJFS-14-6_009
منتشر شده در در سال 1396
شناسه ملی مقاله: JR_IJFS-14-6_009
منتشر شده در در سال 1396
مشخصات نویسندگان مقاله:
Jun Li - School of Science, Lanzhou University of Technology, Lanzhou ۷۳۰۰۵۰, Gansu, China
Chao Fu - School of Science, Lanzhou University of Technology, Lanzhou ۷۳۰۰۵۰, Gansu, China
خلاصه مقاله:
Jun Li - School of Science, Lanzhou University of Technology, Lanzhou ۷۳۰۰۵۰, Gansu, China
Chao Fu - School of Science, Lanzhou University of Technology, Lanzhou ۷۳۰۰۵۰, Gansu, China
This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple implication method possesses a good behavior of robustness.
کلمات کلیدی: Robustness, Triple implication method, Weighted logic metric, Weighted logic similarity degree, Fuzzy reasoning
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1460602/