ABSTRACT 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.
Cite this paper
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