Associative reasoning-based interpretable continuous decision making in industrial production process

作者：

Highlights：

• A new knowledge description form with adaptive parameters is designed.

• A data-driven interpretable associative reasoning model is established.

• An associative learning method to obtain adaptivity in dynamic system is proposed.

• A continuous decision-making model is built to obtain optimal scheme.

摘要

•A new knowledge description form with adaptive parameters is designed.•A data-driven interpretable associative reasoning model is established.•An associative learning method to obtain adaptivity in dynamic system is proposed.•A continuous decision-making model is built to obtain optimal scheme.

论文关键词：Adaptive decision making,Associative reasoning,Data-driven model,Interpretability

论文评审过程：Received 8 February 2022, Revised 23 April 2022, Accepted 10 May 2022, Available online 13 May 2022, Version of Record 30 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117585