Multi-sensors data fusion through fuzzy clustering and predictive tools

作者：

Highlights：

• This paper deals with multi-sensor data fusion problem.

• Clustering was done using entropy-based fuzzy c-means algorithm.

• Predictive tool was developed using fuzzy reasoning process to establish input-output relationships.

• Performances were compared with previous approaches on two data sets.

摘要

•This paper deals with multi-sensor data fusion problem.•Clustering was done using entropy-based fuzzy c-means algorithm.•Predictive tool was developed using fuzzy reasoning process to establish input-output relationships.•Performances were compared with previous approaches on two data sets.

论文关键词：Multi-sensors data,Input-output relationships,Fuzzy clustering,Fuzzy reasoning tool

论文评审过程：Received 19 August 2017, Revised 18 January 2018, Accepted 23 April 2018, Available online 24 April 2018, Version of Record 1 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.026