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Iranian Journal of Fuzzy Systems، جلد ۹، شماره ۱، صفحات ۱۲۱-۱۴۰
عنوان فارسی FUZZY LINEAR REGRESSION BASED ON LEAST ABSOLUTES DEVIATIONS
چکیده فارسی 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.
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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.
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نویسندگان مقاله سید محمد طاهری | s m
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
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)

m کلکین نما |
department of mathematical sciences, isfahan university of technology, isfahan 84156-83111, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)

نشانی اینترنتی http://ijfs.usb.ac.ir/article_230_d59e96e289e06159aecc01cdcd61a9dd.pdf
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