Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme

作者：

Highlights：

• Propose an efficient rule-base modeling procedure for CBRBS.

• Propose an efficient rule-base inference procedure for CBRBS.

• Investigate the properties of CBRBS to facilitate its applications.

• Provide extensive experiments using regression and classification datasets.

摘要

•Propose an efficient rule-base modeling procedure for CBRBS.•Propose an efficient rule-base inference procedure for CBRBS.•Investigate the properties of CBRBS to facilitate its applications.•Provide extensive experiments using regression and classification datasets.

论文关键词：Rule-based system,Uncertainty,Belief rule base,Knowledge representation,Information fusion,Explainable AI

论文评审过程：Received 30 July 2021, Revised 25 October 2021, Accepted 20 November 2021, Available online 20 December 2021, Version of Record 22 January 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107805