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جستجوی مقالات
سه شنبه 27 آبان 1404
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.
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
Fuzzy regression, Least absolutes deviations, Metric on fuzzy numbers, Similarity measure, Goodness of fit
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
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