کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
497355 862888 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eliciting transparent fuzzy model using differential evolution
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Eliciting transparent fuzzy model using differential evolution
چکیده انگلیسی

In this paper a new technique for eliciting a fuzzy inference system (FIS) from data for nonlinear systems is proposed. The strategy is conducted in two phases: in the first one, subtractive clustering is applied in order to extract a set of fuzzy rules, in the second phase, the generated fuzzy rule base is refined and redundant rules are removed on the basis of an interpretability measure. Finally the centers and widths of the Membership Functions (MFs) are tuned by means differential evolution. Case studies are presented to illustrate the efficiency and accuracy of the proposed approach. The results obtained are compared and contrasted with those obtained from a conventionally neuro-fuzzy technique and the superiority of the proposed approach is highlighted.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 8, Issue 1, January 2008, Pages 466–476
نویسندگان
, , , ,