School of Business, Jiangnan University, Jiangsu, Wuxi, 214122, China.
Environ Sci Pollut Res Int. 2019 Jun;26(18):18687-18707. doi: 10.1007/s11356-019-05072-7. Epub 2019 May 4.
Air pollution has caused huge losses of life and property. So, how to choose a practically effective scheme to m.itigate air pollution is of great significance. However, such a selection problem of treatment schemes represents really a group negotiation process of many decision makers (DMs), involving a variety of fuzzy information and preferences. To successfully address this selection problem, this paper proposes a novel group negotiation decision model by jointly employing various approaches, such as hesitant fuzzy set, grey target, grey incidence analysis, and graph model for conflict resolution (GMCR). Then, this model is used to determine the equilibrium schemes for treating air pollution. It is expected that this work provides a method for Chinese government to introduce programs to target air pollution control.
空气污染已经造成了巨大的生命和财产损失。因此，如何选择一种实际有效的方案来减轻空气污染具有重要意义。然而，这种处理方案的选择问题实际上代表了许多决策者（DMs）的集体谈判过程，涉及到各种模糊信息和偏好。为了成功解决这个选择问题，本文提出了一种新的基于犹豫模糊集、灰色靶心理论、灰色关联分析和冲突消解图模型（GMCR）的群体协商决策模型。然后，该模型被用于确定处理空气污染的均衡方案。希望这项工作能为中国政府引入空气污染控制计划提供一种方法。
