Optimized PROMETHEE Based on Interval Neutrosophic Sets for New Energy Storage Alternative Selection

نویسندگان

  • Zheng Wang
  • Lin Liu
چکیده

New energy storage alternative selection is a hot research issue that involves multiple-criteria decision-making process. In view of the existing deficiencies of multiple-criteria decision-making methods, an optimized method of PROMETHEE was proposed based on interval neutrosophic sets that has the advantage in describing fuzzy decision-making information. Robustness evaluation was conducted to verify the stability of the optimized method in comparison with other typical classical multiple-criteria decision-making methods. Experimental results show that the optimized method can solve the existing problems such as unavoidable subjectivity, information uncertainties and compensation between indicators with more reasonable results. Finally, an empirical study was performed to verify the effectiveness of this optimized method in order to provide a reference for dynamicgroup decision-making in new energy storage alternative selections.

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تاریخ انتشار 2016