کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381756 1437509 2006 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
چکیده انگلیسی

Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understanding of interval type-2 fuzzy logic controllers (FLCs). First, a type-2 FLC is evolved using Genetic Algorithms (GAs). The type-2 FLC is then compared with another three GA evolved type-1 FLCs that have different design parameters. The objective is to examine the amount by which the extra degrees of freedom provided by antecedent type-2 fuzzy sets is able to improve the control performance. Experimental results show that better control can be achieved using a type-2 FLC with fewer fuzzy sets/rules so one benefit of type-2 FLC is a lower trade-off between modeling accuracy and interpretability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 8, December 2006, Pages 829–841
نویسندگان
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