Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations

Fuzzy regression models are widely used to investigate the relationship between explanatory and response variables for many decision-making applications in fuzzy environments. To include more fuzzy information in observations, this study uses intuitionistic fuzzy numbers (IFNs) to characterize the e...

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Veröffentlicht in:	Fuzzy optimization and decision making 2020-06, Vol.19 (2), p.191-210
Hauptverfasser:	Chen, Liang-Hsuan, Nien, Sheng-Hsing
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Calculus of Variations and Optimal Control Optimization Decision making Distance measurement Least squares method Mathematical Logic and Foundations Mathematical programming Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Parameters Probability Theory and Stochastic Processes Regression models
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