A multi-attribute fusion approach extending Dempster–Shafer theory for combinatorial-type evidences

作者：

Highlights：

• A fusion method extends to integrate combinatorial type evidences.

• A combining mechanism uses a number to measure the degree of confidence.

• New uncertainty measures ensure the validity of the multi-attribute fusion.

• A knowledge element model is applied for unified representation of objects.

摘要

•A fusion method extends to integrate combinatorial type evidences.•A combining mechanism uses a number to measure the degree of confidence.•New uncertainty measures ensure the validity of the multi-attribute fusion.•A knowledge element model is applied for unified representation of objects.

论文关键词：Knowledge fusion,Multi-attribute perception,Dempster–Shafer theory,Knowledge element

论文评审过程：Received 1 December 2016, Revised 1 December 2017, Accepted 2 December 2017, Available online 5 December 2017, Version of Record 22 December 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.12.005