|
|
Iranian Journal of Fuzzy Systems، جلد ۹، شماره ۱، صفحات ۱۲۱-۱۴۰
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
Fuzzy regression، Least absolutes deviations، Metric on fuzzy numbers، Similarity measure، Goodness of fit، |
|
| عنوان انگلیسی |
FUZZY LINEAR REGRESSION BASED ON LEAST ABSOLUTES DEVIATIONS |
|
| چکیده انگلیسی مقاله |
This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. A least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. The proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by three goodness of t criteria. Three well-known data sets including two small data sets as well as a large data set are employed for such comparisons. |
|
| کلیدواژه‌های انگلیسی مقاله |
|
|
| نویسندگان مقاله |
S. M. Taheri |
Department of Mathematical Sciences, Isfahan University of Technology, Isfahan 84156-83111, Iran and Department of Statistics, School of Mathematical
Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
M. Kelkinnama |
Department of Mathematical Sciences, Isfahan University of Technology, Isfahan 84156-83111, Iran
|
|
| نشانی اینترنتی |
http://ijfs.usb.ac.ir/article_230_d59e96e289e06159aecc01cdcd61a9dd.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/448/article-448-1763759.pdf |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
|
| نوع مقاله منتشر شده |
|
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|