Smart interpretable model (SIM) enabling subject matter experts in rule generation

作者：

Highlights：

• Framework that requires little to no AI knowledge.

• Facilitates creation of a set of fuzzy IF-THEN rules.

• Allows subject matter experts (SME) to incorporate prior knowledge.

• Generates comprehensive insights summarized from rules and samples.

• Validation on benchmark datasets to state-of-the art models yields compatible results.

摘要

•Framework that requires little to no AI knowledge.•Facilitates creation of a set of fuzzy IF-THEN rules.•Allows subject matter experts (SME) to incorporate prior knowledge.•Generates comprehensive insights summarized from rules and samples.•Validation on benchmark datasets to state-of-the art models yields compatible results.

论文关键词：Interpretability,Rule generation and selection,Ease-of-use,Fuzzy rules,User prior knowledge

论文评审过程：Received 26 January 2022, Revised 25 May 2022, Accepted 20 June 2022, Available online 23 June 2022, Version of Record 2 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117945