Ridge regression model fitting with triangular fuzzy inputs-output data
Publish place: 1st National Conference on Soft Computing
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 501
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CSCG01_193
تاریخ نمایه سازی: 29 مهر 1396
Abstract:
This paper deals with ridge regression modeling in the context of fuzzy analysis in which the input and output are triangular fuzzy numbers. First, some approximations for multiplication of two triangular fuzzy numbers are introduced. Then, to evaluate the fuzzy linear ridge regression models, the best approximation is selected to minimize a suitable function. Further, experimental results are then presented, which indicate the performance of this model.
Keywords:
Fuzzy regression-Ridge regression-Fuzzy number
Authors
Mohammad Reza Rabiei
Department of Statistics, School of Mathematical Sciences, University of Shahrood, Shahrood, Iran
Fatemeh Piadeh Koohsar
Master of Science in Statistics, Shiraz University