Karaşan, AliKahraman, CengizGÜNDOĞDU, FATMA KUTLU2019-09-042019-09-042019-07https://hdl.handle.net/11413/5234Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and de­ ployment by societies. Governments in many countries aim to increase the clean energy technologies and oner incentives to increase tendency on that sec­ tor. 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 tenn, without adding to the total cost of reaching a low-carbon fu­ ture. In this study, we use an integrated Pythagorean fuzzy MCDM method consist of AHP and TOPSIS for the selection of the most appropriate clean en­ ergy7 technology for the Marmara Region.en-USAttribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Pythagorean Fuzzy SetsPythagorean AHPPythagorean TOPSISClean Energy7 TechnologiesDecision Making IntroductionconferenceObject2-s2.0-85069440113