Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters

作者：

Highlights：

• This study deals with the prediction and optimisation of an electrical discharge machine’s parameters.

• According to the uncertainty conditions, a scenario-based fuzzy RDEA model is developed.

• We propose a hybrid ANFIS approach and scenario-based robust optimisation.

• The fuzzy possibility regression with fuzzy hypothesis testing is contributed for our experiments.

摘要

•This study deals with the prediction and optimisation of an electrical discharge machine’s parameters.•According to the uncertainty conditions, a scenario-based fuzzy RDEA model is developed.•We propose a hybrid ANFIS approach and scenario-based robust optimisation.•The fuzzy possibility regression with fuzzy hypothesis testing is contributed for our experiments.

论文关键词：Electrical discharge machine (EDM),Fuzzy possibility regression,adaptive-network-based fuzzy inference system (ANFIS),Optimisation,Robust data envelopment analysis (RDEA)

论文评审过程：Received 10 January 2021, Revised 6 November 2021, Accepted 15 December 2021, Available online 5 January 2022, Version of Record 11 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116419