Universal Approximation of Interval-valued Fuzzy Systems Based on Interval-valued Implications

Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJFS-13-6_006

تاریخ نمایه سازی: 19 خرداد 1401

Abstract:

It is firstly proved that the multi-input-single-output (MISO) fuzzy systems based on interval-valued R- and S-implications can approximate any continuous function defined on a compact set to arbitrary accuracy.  A formula to compute the lower upper bounds on the number  of interval-valued fuzzy sets needed to achieve a pre-specified approximation  accuracy for an arbitrary multivariate continuousfunction is then presented. In addition, a method to design the interval-valued fuzzy systems based on R- and S-implications in order to approximate a given continuousfunction with a required approximation accuracy is represented. Finally, two numerical examples are provided to illustrate the proposed procedure.

Authors

Dechao Li

School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, ۳۱۶۰۲۲, China and Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province, Zhoushan, Zhejiang, ۳۱۶۰۲۲, China

Yongjian Xie

College of Mathematics and Information Science, Shaanxi Normal University, Xi&#۰۳۹;an, ۷۱۰۰۶۲, China

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