Approach for Establishing Intuitionistic Fuzzy Linear Regression Models Based on Weakest T-Norm Arithmetic

This article establishes an intuitionistic fuzzy linear regression model (IFLRM) under the consideration that the explanatory and response variables in the observation data set as well as the parameters of the model are intuitionistic fuzzy numbers (IFNs). The weakest T -norm arithmetic is applied i...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2021-06, Vol.29 (6), p.1431-1445
Hauptverfasser:	Chen, Liang-Hsuan, Nien, Sheng-Hsing
Format:	Artikel
Sprache:	eng
Schlagworte:	Arithmetic Datasets Distance measurement Frequency selective surfaces Fuzzy linear regression model (FLRM) Fuzzy sets intuitionistic fuzzy number (IFN) intuitionistic fuzzy regression Linear regression Mathematical model Mathematical programming Optimization Parameters Predictive models Regression analysis Regression models Upper bound weakest <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> T</tex-math> </inline-formula> </named-content>-norm arithmetic
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