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    A modified interval valued intuitionistic fuzzy CODAS method and its application to multi-criteria selection among renewable energy alternatives in Turkey
    (Elsevier, 2020) Deveci, Kaan; Cin, Rabia; Kağızman, Ahmet
    Combinative Distance based ASsesment (CODAS) method aims to perform multi-criteria selection process according to the largest Euclidean and Taxicab distance with respect to negative ideal solutions. Recently, several CODAS methods have been applied to multi-criteria decision making problems with interval valued intuitionistic fuzzy sets. This paper demonstrates the weaknesses of using Euclidean and Taxicab distance on interval valued intuitionistic fuzzy sets and provides alternative strategies to model the vagueness and uncertainty in decision maker evaluations more effectively. The contribution of this paper is twofold. First, a new selection metric is defined in order to eliminate the disadvantages of using Euclidean and Taxicab distance in interval valued intuitionistic fuzzy CODAS. Second, a new fuzzy aggregation operator is proposed for aggregating decision maker evaluations by using fuzzy weights rather than using crisp weights. To show the effectiveness of the modified CODAS method, an application is given for multi-criteria selection of renewable energy alternatives in Turkey and the results are compared with two other interval valued intuitionistic fuzzy CODAS methods in the literature. (C) 2020 Elsevier B.V. All rights reserved.
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    Application of energy efficiency obligation scheme for electricity distribution companies in Turkey
    (Elsevier, 2022) Ünal, Berat Berkan; Onaygil, Sermin; Acuner, Ebru; Cin, Rabia
    To realize the existing energy-saving potential in a short time according to 2012/27/EU Energy Efficiency Directive, in 2017, Turkey published National Energy Efficiency Action Plan (NEEAP), containing Energy Efficiency Obligation Schemes EEOS establishment action. Since research studies are needed to guide the NEEAP, this study was conducted to establish an exemplary model for Turkish EEOS. Based on the literature, the main hypothesis of the study is "EEOS could contribute significantly to NEEAP targets". Electricity Distribution Companies (EDCs) are assumed as obligated parties, a guideline containing standard energy efficiency (EE) actions for residential, commercial, and industrial sectors was prepared. Concerning EDCs' market shares, mixedinteger linear programming models, minimizing EE actions' costs, were developed to examine four annual saving targets (0.8%, 1.5%, 2%, and least) under three scenarios (yearly-based obligation, yearly-based with using 5% of each action and no constraints). Saving target 2% for 7 years with no constraint gives the highest energysaving (above 200 TWh) and the least is from the least annual target for 10 years with yearly based obligation (below 100 TWh). In conclusion, if EDCs fulfill their obligations under specified targets and scenarios, Turkish NEEAP's saving target can be fulfilled between 10% and 44%, supporting the hypothesis of the study.