Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic

作者：

Highlights：

• Fuzzy decision trees (FDTs) were optimized for selecting oil spill response in the Arctic.

• Multi-objective metaheuristic optimization improved the training of FDTs.

• Different regression analyses were coupled with FDTs to improve prediction accuracy.

• Four information discrimination measures were evaluated to construct efficient FDTs.

摘要

•Fuzzy decision trees (FDTs) were optimized for selecting oil spill response in the Arctic.•Multi-objective metaheuristic optimization improved the training of FDTs.•Different regression analyses were coupled with FDTs to improve prediction accuracy.•Four information discrimination measures were evaluated to construct efficient FDTs.

论文关键词：Oil spill response,Decision-making tool,Fuzzy decision tree,Multi-objective optimization,Regression analysis,Information discrimination power

论文评审过程：Received 3 November 2020, Revised 30 November 2020, Accepted 11 December 2020, Available online 18 December 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106676