Companies attempt to companies are attempting to find ways to improve their flexibility and responsiveness and in turn competitiveness by changing their operations strategy, methods and technologies that include the implementation of Supply Chain Management (SCM) paradigm. Hence, Information Technology (IT) can enhance the agility of SCM. The aspects, however, which IT impact on SCM are not equal. In this paper, we specify the areas that IT affects on supply chain, and evaluate it. Since the judgments of Iranians automobile industry are qualitative, the evaluation has been done by fuzzy ranking method.
Group decision making is a process in which experts rank and choose the most desirable alternatives based on some accepted criteria. The aim of this paper was to introduce a method to solve group decision making problems with Atanassov's intuitionistic fuzzy sets. First, the weight of each criterion is calculated using intuitionistic fuzzy entropy. Then, the total criteria weight vector is calculated by aggregating the calculated weights. Using the obtained weight vector, the alternatives are ranked based on the association coefficient of the performance of alternatives related to each criterion and the positive ideal intuitionistic fuzzy set value and the negative ideal intuitionistic fuzzy set value. Finally, to show the application of the proposed method, it is implemented in software vendor selection.
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