Seyed Hamzeh Mirzaei
Abstract
In aggregation of preferences system, each decision maker (DM) selects a subset of the alternative and places them in a ranked order. The key issue of the aggregation preference is how to determine the weights associated with different ranking places. To avoid the subjectivity in determining the weights, ...
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In aggregation of preferences system, each decision maker (DM) selects a subset of the alternative and places them in a ranked order. The key issue of the aggregation preference is how to determine the weights associated with different ranking places. To avoid the subjectivity in determining the weights, data envelopment analysis (DEA) is used in Cook and Kress to determine the most favorable weights for each alternative. With respect to DEA-based models, two main criticisms appear in the literature: multiple top-ties and overly diverse weights. DEA models use assignments of the same aggregate value (equal to unity) to evaluate multiple alternatives as efficient. There is no criterion to discriminate among these alternatives in order to construct a ranking of alternatives. furthermore, overly diverse weights can appear, given that each alternative can have its own vector of weights (i.e., the one that maximizes its aggregate value). Thus, the efficiencies of different alternatives obtained by different sets of weights may be unable to be compared and ranked on the same basis In order to solve these two problems above, In order to rank all the alternatives on the same scale, In this paper we proposed an improvement to Kornbluth’s approach by introducing an multiple objective linear programming (MOLP) approach for generating a common set of weights in the DEA framework. In order to solve the MOLP model we use a goal programming (GP) model. solving the GP model gives us a common set of weights and then the efficiency scores of candidate can be obtained by using these common weights and finally we can rank all alternative.
Seyyed Esmaeil Najafi; Mohsen Amiri; Vahid Abdolah Zadeh
Volume 2, Issue 3 , September 2015, , Pages 139-153
Abstract
National and regional growth and development models in the developing countries whose development attributes are far different from those of the developed countries, must be in such a way to allow the corresponding country or region to develop at the minimum cost within the shortest possible period of ...
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National and regional growth and development models in the developing countries whose development attributes are far different from those of the developed countries, must be in such a way to allow the corresponding country or region to develop at the minimum cost within the shortest possible period of time. One of the successful approaches toward national and regional development models is to rely on a development model which is based on extending and developing science and technology corridors. This study is aimed at ranking practicable technologies within the science and technology corridor of Isfahan using multiple attribute decision-making process. Since the technology and science corridor are new issues in IRAN and there had been no researches on identification and selection of applicable technologies, the work on this issue was very innovative, also application of 3 methods of decision making for upgrading of reliability is the outstanding criteria of this research. For this purpose, 13 attributes were utilized (categorized into 6 groups) and AHP, TOPSIS and SAW techniques were employed to rank technologies, so that the following order of preference was suggested for the practicable technologies within the science and technology corridor of Isfahan:1) Information and communication technology, 2) material technologies, 3) bio-technology, 4) energy technology, 5) Nano-technology, 6) environmental technology, 7) laser and optic technology, 8) nuclear technology.
