ME  Vol.6 No.4 , April 2015
Fuzzy Comprehensive Evaluation of Service Agent Based on Large-Scale Products of New Technology
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: Kong, J. , Zhang, F. and Zhou, Z. (2015) Fuzzy Comprehensive Evaluation of Service Agent Based on Large-Scale Products of New Technology. Modern Economy, 6, 498-509. doi: 10.4236/me.2015.64049.

[1]   Zhou, Z.F. and Ren, J.F. (2011) Research on Selection of Service Providers and Inventory Management of Spare Parts. Economic Science Press, Beijing.

[2]   Wang, H.Q. and Hu, Y.Q. (2002) A Study on the Definitions of High & New Technology and Its Industry as Well as Their Standardized Use. Science of Science and Management of S. & T, 23, 8-11.

[3]   Xiong, B. and Chen, L. (2007) Study on Financing in Transforming Technology Achievements of High-Tech Firms and Institutional Investors under Asymmetric Information. Chinese Journal of Management Science, 15, 136-141.

[4]   Shao, X.F., Ji, J.H. and Huang, P.Q. (2001) Research on Methods of Suppliers Selection in Supply Chain. Quantitative & Technical Economics, 12, 80-83.

[5]   Bao, Z.Q. and Yang, B. (2010) The Model of Outsourcing Service Providers Selection for Enterprise under the Asymmetric Information. Logistics Technology, 12, 51-54.

[6]   Liu, J. (2009) Research on Incentive Mechanism of Logistics Outsourcing Based on Principal-Agent Theory. Tsinghua University, Beijing.

[7]   Yao, Z.S. and Lu, Y.P. (2010) Selection of Third-Part Logistics Based on Logistics Outsourcing. Science Technology and Industry, 10, 89-95.

[8]   Huang, D.S. and Zhang, X.P. (2005) A Dynamic Decision Approach for Long-Term Vendor Selection Based on AHP & BSC[C], LNCS 3645.

[9]   Zhao, X.H. and Zhao, X.M. (2002) Selection of Suppliers Based on Fuzzy Decision Making. Industrial Engineering and Management, 4, 27-29.

[10]   Guo, X.G. (1995) A New Comprehensive Evaluation Method—A Combination Evaluation Methods. Statistical Research, 15, 56-58

[11]   Su, W.H. and Chen J. (2006) Development Ideas of Comprehensive Evaluation Method. Statistical Research, 26, 32-37.

[12]   Su, W.H. and Chen, J. (2007) The Defects of Fuzzy Borda Method and Its Improvement. Statistical Research, 24, 58-64.

[13]   Zhang, M. and Zhou, Z.F. (2010) Credit Rating of High-Tech Enterprise Based on Fuzzy Borda Method. Value Engineering, 29, 43-44.