Abstract
Article history: Received December 2, 2013 Accepted February 20, 2014 Available online May 21 2014 Evaluating and prioritizing appropriate renewable energy sources is inevitably a complex decision process. Various information and conflicting attributes should be taken into account. For this purpose, multi-attribute decision making (MADM) methods can assist managers or decision makers in formulating renewable energy sources priorities by considering important objective and attributes. In this paper, a new extension of compromise ranking method with interval numbers is presented for the prioritization of renewable energy sources that is based on the performance similarity of alternatives to ideal solutions. To demonstrate the applicability of the proposed decision method, an application example is provided and the computational results are analyzed. Results illustrate that the presented method is viable in solving the evaluation and prioritization problem of renewable energy sources. © 2014 Growing Science Ltd. All rights reserved.
Highlights
Renewable energy sources have been considered in developing countries in order to reduce environmental pollutions, substantially; these sources may increase high financial risks
Based on the gap in the related literature, this paper presents a new decision approach for the prioritization of renewable energy sources by considering various conflicting assessment attributes
A new decision approach with interval numbers is proposed for prioritizing renewable energies based on the compromise ranking method
Summary
Renewable energy sources have been considered in developing countries in order to reduce environmental pollutions, substantially; these sources may increase high financial risks. Based on the gap in the related literature, this paper presents a new decision approach for the prioritization of renewable energy sources by considering various conflicting assessment attributes. This approach is based on a new extension of the compromise ranking method with interval numbers that has good potential for solving evaluation problem and has the following characteristics: The method considers an unlimited range of renewable energy properties, by the concepts of compromise programming and interval computations and by regarding several system attributes/components; It maintains a simple computation process and programmed; and It proposes an output as a preferential ranking of the renewable energy alternatives with numerical values in interval form to figure out the differences and similarities between alternatives. The attractive results have been reported in the literature; for instance, risk evaluation problems (Ebrahimnejad et al, 2010), contractor selection problems (Vahdani et al, 2013), and aircraft selection problems (Yeh and Chang, 2009)
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