A Fuzzy Multi-Criteria Approach to WEEE Treatment Strategy Selection


Joint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), Lisbon, Portugal, 20 - 24 July 2009, pp.1439-1443 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: Lisbon
  • Country: Portugal
  • Page Numbers: pp.1439-1443
  • Galatasaray University Affiliated: Yes


Today's one of the biggest environmental problem is the alarming increase of the wastes electrical and electronic equipments (WEEE). This type of waste threats the environment and the human health by contaminating air, soil and water, because of toxic materials including in the electrical and electronic equipments (EEE). That's why we should look for exploring the environmental friendly ways to dispose of these wastes and the producers should select an appropriate strategy. Waste treatment strategies contribute also to either local or global economies by creating a new sector and employment and by reducing use of scarce resources. In this paper, we use a fuzzy hierarchical TOPSIS method for solving multi attribute group decision making (MAGDM) problems with preference information on alternatives in fuzzy environment. Our aim is to develop a fuzzy hierarchical TOPSIS model to evaluate and to select of a waste treatment strategy for electrical and electronic equipments (EEE). In this direction, three treatment strategies alternatives and six criteria are determined. The best strategy is selected and the key ciriterion is found.