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An Integrated Pythagorean Fuzzy AHP & TOPSIS Method for the Selection of the Most Appropriate Clean Energy Technology

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Karaşan, Ali
Kahraman, Cengiz

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Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

Abstract

Clean 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.

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