A two-stage approach for formulating fuzzy regression models

作者：

Highlights：

• A simple two-stage approach is proposed to construct a fuzzy regression model.

• The fuzzy model contains the crisp coefficients and a fuzzy adjustment term.

• The negative coefficients are taken into account in the fuzzy regression model.

• The fuzzy model has the highest explanatory performance using various criteria.

摘要

•A simple two-stage approach is proposed to construct a fuzzy regression model.•The fuzzy model contains the crisp coefficients and a fuzzy adjustment term.•The negative coefficients are taken into account in the fuzzy regression model.•The fuzzy model has the highest explanatory performance using various criteria.

论文关键词：Fuzzy sets,Fuzzy regression model,Mathematical programming,Least-squares method,Two-stage approach

论文评审过程：Received 22 August 2012, Revised 2 August 2013, Accepted 4 August 2013, Available online 15 August 2013.

论文官网地址：https://doi.org/10.1016/j.knosys.2013.08.010