کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943966 1437728 2017 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy rule-based models with interactive rules and their granular generalization
ترجمه فارسی عنوان
مدل های مبتنی بر قانون فازی با قوانین تعاملی و تعمیم گرادیبی آنها
کلمات کلیدی
مدل های مبتنی بر قاعده فازی تعامل در میان قوانین، مدل گرانول پوشش، اختصاصی، یادگیری عمیق، تخصیص جزئیات اطلاعات
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Processing realized in fuzzy rule-based models is associated with matching individual rules with the existing input data and aggregation of the levels of matching and conclusions of the rules. Rules are processed as individual entities. In this study, we introduce an augmentation of fuzzy models by facilitating interaction among the rules leading to more flexible type membership functions of fuzzy sets forming conditions of the rules (thus resulting in substantially advanced topology of the partition of the input space). Different ways of realizing interaction among the rules are studied. In the sequel, we develop a granular fuzzy model implied by the rule-based model showing how granular parameters of the original rule-based model enhance its quality expressed in terms of coverage of experimental data. The two evaluation criteria of the constructed granular model, namely coverage and specificity are studied. Experimental results are reported for a series of publicly available data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 307, 15 January 2017, Pages 1-28
نویسندگان
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