Quarterly sales analysis using linguistic fuzzy logic with weather data

作者：

Highlights：

• A novel approach describing causal relationship between variables is presented.

• We combine fuzzy logic, linguistic data mining and forecasting ideas.

• We study quarterly sales in dependency on average temperatures.

摘要

•A novel approach describing causal relationship between variables is presented.•We combine fuzzy logic, linguistic data mining and forecasting ideas.•We study quarterly sales in dependency on average temperatures.

论文关键词：Forecasting,Sales,Weather,Fuzzy sets,Fuzzy natural logic

论文评审过程：Received 11 March 2021, Revised 11 February 2022, Accepted 25 April 2022, Available online 5 May 2022, Version of Record 11 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117345