An interactive group decision model for selecting treatment schemes for mitigating air pollution

Environ Sci Pollut Res Int. 2019 Jun;26(18):18687-18707. doi: 10.1007/s11356-019-05072-7. Epub 2019 May 4.

Abstract

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.

Keywords: Air pollution; Conflict resolution; Equilibrium scheme; Grey incidence analysis; Scheme selection.

MeSH terms

  • Air Pollution / prevention & control*
  • Conservation of Natural Resources / methods*
  • Decision Making
  • Decision Support Techniques*
  • Fuzzy Logic
  • Humans
  • Negotiating