Research on Location Problem Based on Fuzzy Multi-criteria Decision Method

The factor score method is a commonly used method to solve the problem of location, but the implementation process is greatly influenced by the subjective evaluation of experts, and the calculation results lack objectivity and accuracy. In order to overcome the above-mentioned shortcomings, this paper proposes a fuzzy multi-criteria decision-making model based on linguistic distribution evaluation method, entropy weight method and TODIM (interactive multi-criteria decision-making) method for location research. Firstly, this paper uses the linguistic distribution evaluation method to obtain the expert evaluation information, then uses the entropy weight method to calculate the weight of each influencing factor, and finally uses the TODIM method to determine the optimal location.Through case comparison and analysis, it is found that the model can effectively reduce the uncertainty of expert evaluation and improve the reliability of location results.