Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology

KARAŞAN A., Gündoğdu F. K., Kahraman C.

International Conference on Intelligent and Fuzzy Systems, INFUS 2019, İstanbul, Turkey, 23 - 25 July 2019, vol.1029, pp.879-887 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1029
  • Doi Number: 10.1007/978-3-030-23756-1_105
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.879-887
  • Keywords: Clean energy technologies, Decision making introduction, Pythagorean AHP, Pythagorean fuzzy sets
  • Istanbul Kültür University Affiliated: No

Abstract

Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and deployment by societies. Governments in many countries aim to increase the clean energy technologies and offer incentives to increase tendency on that sector. One of the reasons of these incentives is to prevent the global warming. For example, 30% of global electricity can be produced from wind and solar power in the long term, without adding to the total cost of reaching a low-carbon future. In this study, we use Pythagorean fuzzy AHP for the selection of the most appropriate clean energy technology for the Marmara Region.