摘要：For new-tech products manufacturing enterprises, good after-sale service plays an important role in the marketing of new-tech products and promoting the sustainable development. Therefore, how to select and evaluate the service agent will be an inevitable and important job for new-tech manufacturing enterprises. However, the evaluation process and results of the service agent always show fuzziness because of the uncertain evaluation factors. In order to solve this problem, the dissertation firstly introduced methods of fuzzy comprehensive evaluation and multiple attribute decision making from quantitative and qualitative views respectively. Secondly, a method of evaluation on “important” service agent based on fuzzy Borda method was constructed. By the numerical experiment, results show that the fuzzy comprehensive evaluation methods of service agent proposed in this paper are feasible and effective, which provides a new idea to address the problem of evaluating the service agent for new-tech products manufacturing enterprises.
