Facility location selection using a fuzzy outranking method


Kaya I., Çınar Ünal D.

7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, Genoa, Italy, 29 - 31 August 2006, pp.359-360 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1142/9789812774118_0052
  • City: Genoa
  • Country: Italy
  • Page Numbers: pp.359-360

Abstract

Most decision-making problems deal with uncertain and imprecise data so conventional approaches cannot be effective to find the best solution. To cope with this uncertainty, fuzzy set theory has been developed as an effective mathematical algebra under vague environment. When the system involves human subjectivity, fuzzy algebra provides a mathematical framework for integrating imprecision and vagueness into the decision making models. The main subject of this study is a fuzzy outranking model, and a numerical example of a facility location selection problem with fuzzy data is considered using this model.