Fuzzy Quantile Linear Regression Model Adopted with a Semi-Parametric Technique based on Fuzzy Predictors and Fuzzy Responses

作者：

Highlights：

• A fuzzy semi-parametric quintile regression model is introduced.

• A kernel-based signed-distance measure is proposed.

• The method is illustrated via a simulation study and a real-world application.

• The proposed method is compared with other existing ones.

摘要

•A fuzzy semi-parametric quintile regression model is introduced.•A kernel-based signed-distance measure is proposed.•The method is illustrated via a simulation study and a real-world application.•The proposed method is compared with other existing ones.

论文关键词：Fuzzy quantile linear regression,semi-parametric technique,fuzzy predictor,fuzzy response,optimal bandwidth,goodness-of-fit measure,signed-distance measure

论文评审过程：Received 26 January 2018, Revised 15 September 2018, Accepted 14 October 2018, Available online 16 October 2018, Version of Record 24 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.026