Fuzzy TODIM Method And Its Application In Performance Evaluation Of New Energy Automobile Enterprises

With the continuous development of today's knowledge economy and low carbon economy,as well as the great breakthrough in scientific and technological innovation,the strategic emerging industries have received unprecedented attention from the state.Under the support of national policy,strategic emerging industries spawned many branches of industry,including the high-end equipment manufacturing industry,biological industry,new material industry and new energy automobile enterprises,etc.Among them,the development of new energy automobile enterprises is of great significance to environmental protection.In response to the national call to protect the environment,more and more traditional auto industry enterprises began to transition to new energy automobile enterprises.Enterprise performance evaluation is very important for the new energy automobile industry which is in the initial stage of development.It can not only help enterprises to recognize the current performance,but also guide enterprises to adjust the future development strategy.It is necessary to establish a complete performance evaluation system before evaluating the performance of new energy automobile enterprises.However,the traditional performance evaluation system usually only contains quantitative indicators,and the traditional performance evaluation method can only deal with a single type of data.Therefore,it is of great significance to apply the fuzzy multi-attribute decision making method to the performance evaluation of new energy automobile enterprises.Based on the traditional balanced score card,this paper constructs a performance evaluation system that combines quantitative indicators and qualitative indicators.On the basis of the existing research,the traditional TODIM method is extended to a fuzzy multi-attribute decision-making method combining quantitative and qualitative methods,and it is applied to the performance evaluation of new energy vehicle enterprises.The following is a brief description of the main content of this paper.(1)Based on the structure of balanced score card,the performance evaluation system of strategic emerging enterprises is constructed.Different from the traditional performance evaluation system,the new performance evaluation system includes non-financial indicators.The combination of financial indicators and non-financial indicators can evaluate the performance of enterprises more comprehensively.At the same time,it can help enterprises to accurately identify their own advantages and disadvantages and improve the comprehensive performance of enterprises.(2)By reviewing the theories of probabilistic linguistic term set,this paper defines the score function and deviation function of probabilistic linguistic term set.The scale function is extended to the probabilistic linguistic term set and the algorithm of the probabilistic linguistic term set is defined.In addition,probability linguistic mean operator and probability linguistic weighted mean operator are defined in order to group a number of probabilistic linguistic term sets.(3)This paper proposes a method to calculate the attribute weight.When the attribute weights are given in the form of probabilistic linguistic term set by experts,the exact attribute weights are calculated based on the entropy value of probabilistic linguistic term set.When the attribute weights are not given,the attribute weights are calculated based on the probabilistic linguistic mean operator.On the basis of calculating the attribute weight,this paper uses the fuzzy TODIM method to sort the comprehensive performance of four new energy automotive enterprises.