Multivariate Least Squares Regression using Interval-Valued Fuzzy Data and based on Extended Yao-Wu Signed Distance
The purpose of this study is to introduce a new regression model, based on the least squares method, when the available data of both explanatory variable(s) and response variable are interval-valued fuzzy (IVF) numbers. The proposed method is based on a new metric on the space of IVF numbers, which...
Main Authors: | Faezeh Torkian, Mohsen Arefi, Mohammad Ghasem Akbari |
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Format: | Article |
Language: | English |
Published: |
Springer
2014-01-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868464.pdf |
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