کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4951491 | 1364358 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robustness of interval-valued fuzzy inference triple I algorithms based on normalized Minkowski distance
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
- The sensitivity interval-valued fuzzy connectives are proposed.
- The perturbation of interval-valued fuzzy sets based on normalized Minkowski distance in Hausdorff metrics is introduced.
- The maximum sensitivity of three typical interval-valued t-norms and the corresponding implications are given.
- The robustness of interval-valued fuzzy inference triple I algorithms is investigated.
In this paper, we introduce the sensitivity of interval-valued fuzzy connectives and perturbation of interval-valued fuzzy sets based on normalized Minkowski distance in Hausdorff metrics. And then we calculate sensitivity of three typical interval-valued fuzzy connectives. The robustness of interval-valued fuzzy inference triple I algorithms is investigated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Logical and Algebraic Methods in Programming - Volume 86, Issue 1, January 2017, Pages 298-307
Journal: Journal of Logical and Algebraic Methods in Programming - Volume 86, Issue 1, January 2017, Pages 298-307
نویسندگان
Minxia Luo, Bei Liu,