FUZZY DEA APPROACH TO SOLVE THE LOCATION SELECTION OF WIND ENERGY

ERGİNEL N., Yalcinkaya M., Senturk S.

10th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), İstanbul, Turkey, 26 - 29 August 2012, vol.7, pp.207-212 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 7
  • Doi Number: 10.1142/9789814417747_0034
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.207-212
  • Anadolu University Affiliated: Yes

Abstract

Wind energy is an important energy source among the renewable energies, in nowadays. Turkey has many wind energy locations due to the appropriate weather conditions. The problem of location selection of wind energy depends on several criteria: wind speed, air density, surface roughness coefficient, and altitude. Therefore, the location selection of wind energy is a difficult multi-criteria decision making problem. In this study, this multi-criteria problem is solved by fuzzy data envelopment analysis (FDEA) with triangular fuzzy numbers (TFN).