An innovative hybrid air pollution early-warning system based on pollutants forecasting and Extenics evaluation

作者：

Highlights：

• A hybrid early-warning system is developed for pollutants analysis and prediction.

• Distribution estimating is employed to mine characteristics of pollutants.

• A predictor named ICEEMDAN-ICA-BPNN is proposed for deterministic and uncertainty prediction.

• Extenics evaluation is used for air quality assessment.

摘要

•A hybrid early-warning system is developed for pollutants analysis and prediction.•Distribution estimating is employed to mine characteristics of pollutants.•A predictor named ICEEMDAN-ICA-BPNN is proposed for deterministic and uncertainty prediction.•Extenics evaluation is used for air quality assessment.

论文关键词：Air pollution early-warning system,Characteristics estimation,Pollutants prediction,Hybrid model,Extenics evaluation

论文评审过程：Received 24 May 2018, Revised 20 October 2018, Accepted 25 October 2018, Available online 14 November 2018, Version of Record 19 December 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.10.036