کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4942914 1437615 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A histogram approach for determining fuzzifier values of interval type-2 fuzzy c-means
ترجمه فارسی عنوان
یک رویکرد هیستوگرام برای تعیین مقادیر فازی ساز میانگین c فازی نوع 2 فاصله ای
کلمات کلیدی
میانگین c فازی ؛ FCM فاصله ای نوع 2 ؛ فازی ساز
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


- The optimal value of fuzzfiers is necessary for better management of uncertainty.
- Previously finding appropriate value of fuzzfiers is hard task for data sets.
- I adaptively calculate optimal fuzzifiers for interval type-2 fuzzy algorithms.
- Adaptively calculated fuzzifier values have been proven optimal.

Type-2 fuzzy sets are preferred over type-1 sets as they are capable of addressing uncertainty more efficiently. Fuzzifier values play a pivotal role in managing these uncertainties; still selecting an appropriate value of fuzzifier has been a tedious task. Generally, based on observation, a particular value of fuzzifier is chosen from a given range of values for a given dataset. In this paper, I have tried to adaptively compute suitable fuzzifier values of interval type-2 fuzzy c-means for a given pattern. Information is extracted from individual data points using histogram approach and this information is further processed to give us the two fuzzifier values m1 and m2. These obtained values are bounded within some upper and lower bounds based on existing methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 91, January 2018, Pages 27-35
نویسندگان
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