Fuzzy Comprehensive Evaluation of Sales Decline of Automobile Industry Under the Background of Artificial Intelligence

  • Chunjin Zhu
  • Li Li
  • Zhenjun ShenEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)


Analysis of the rapid decline in sales of the automobile industry in recent years, to determine the indicators affecting the development of the automobile industry. According to the sales drop and the relationship of industrial structure adjustment, to build a comprehensive evaluation index system for the continuous decline of automobile industry sales, using the Analytic Hierarchy Process (AHP) to empowerment of indicators. It provides a basis for fuzzy comprehensive evaluation of the risk degree of sales decline in the automobile industry and the development forecast of the combination of the automobile industry and artificial intelligence.


Automobile industry Sales decline AHP Comprehensive evaluation Artificial intelligence 


  1. 1.
    Elsevier Ltd.: Increasing application of polypropylene catalyst in automobile industry augments the global market growth-TMR. Focus Catal., 2–3 (2019)Google Scholar
  2. 2.
    Liang, L., Liu, Q., Li, M.: Risk model of tailing dam break based on variable weight comprehensive analytic hierarchy process. J. Northeast Univ. (Nat. Sci. Ed.) 38(12), 1790–1794 (2017). (in Chinese)Google Scholar
  3. 3.
    Kong, X., Fang, J., et al.: Study on multi-level fuzzy comprehensive evaluation of safety of artificial dam of underground reservoir in coal mine. Coal Eng. 51(9), 158–161 (2019). (in Chinese)Google Scholar
  4. 4.
    Xie, X., Hu, B.: Fuzzy comprehensive evaluation of creative agriculture development level of Miguo town based on AHP. Zhejiang Agric. Sci. 60(11), 2152–2155 (2019). (in Chinese)Google Scholar
  5. 5.
    Zhang, X., Guo, S.: Performance evaluation of supply chain in automobile industry based on fuzzy comprehensive evaluation method. Mach. Manuf. 47(540), 63–65 (2009). (in Chinese)Google Scholar
  6. 6.
    Miciuła, I., Nowakowska-Grunt, J.: Using the AHP method to select an energy supplier for household in Poland. Procedia Comput. Sci. 159, 2324–2334 (2019)CrossRefGoogle Scholar
  7. 7.
    Siyu, T.: Teaching quality evaluation system based on AHP. Course Educ. Res. Period. 44(1), 239–241 (2017)Google Scholar
  8. 8.
    Qun, S., Wei, Z., Li, P.: A comprehensive evaluation approach for machining operation based on fuzzy AHP. Appl. Mech. Mater. 472(1), 1079–1086 (2014)CrossRefGoogle Scholar
  9. 9.
    Chang, C.W., Wu, C.R., Lin, C.-T., Chen, H.-C.: An application of AHP and sensitivity analysis for selecting the best slicing machine. Comput. Ind. Eng. 52(3), 296–307 (2007)CrossRefGoogle Scholar
  10. 10.
    Wu, J., Sun, B.: Construction of eco-tourism resource evaluation model for small towns. Stat. Decis. Mak. 536(20), 63–66 (2019). (in Chinese)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiChina

Personalised recommendations