Katı atık yönetimi senaryolarının bulanık çok ölçütlü karar verme yaklaşımları ile değerlendirilmesi
2007
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Danışman: Prof. Dr. E. Ertuğrul Karsak
Özet (EN)
As a result of the recent upsurge in environmental problems caused by the solid wastes, determining an efficient solid waste management (SWM) system, which considers environmental, technical, economic and social factors, is of outmost importance. To deal with quantitative and qualitative considerations of the waste management problems, multi-criteria decision making (MCDM) techniques can be used. In this study, both the hierarchical fuzzy MCDM algorithm proposed by Karsak and Ahiska (2005), and the fuzzy analytic hierarchy process (AHP) method proposed by Chang (1996) have been employed for addressing the SWM problem in Istanbul considering alternative SWM scenarios including combination of recycling, composting, landfill and incineration processes options. Economic, technical, environmental, and social criteria and their related sub-criteria, which incorporate both quantitative and qualitative data, are employed to evaluate the alternative waste management scenarios. The rankings obtained from two MCDM methods appear to be very close. With the two methods, we obtained the fourth scenario as the best alternative for Istanbul, due to higher percentages of recycling and composting. Although, landfill has several drawbacks for the environment, the scenarios with high landfill percentages rank after the forth scenario since landfill is a highly economic alternative compared with incineration. Finally, the scenarios with high incineration percentages are found at the lowest ranks because of the high cost and adverse environmental impacts of incineration. Keywords : Multiple criteria decision making, hierarchical fuzzy MCDM algorithm, AHP, SWM, linguistic variables
Yazar
Dr. Mehtap Dursun
Bu Yayına Nasıl Atıf Yapılır
Mehtap Dursun (Master Thesis). Katı atık yönetimi senaryolarının bulanık çok ölçütlü karar verme yaklaşımları ile değerlendirilmesi, 2007, Galatasaray University.
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