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Research on the Impact Indicator System of E-Commerce Innovation Experimental Teaching: Deep Fusion Evaluation Method Based on EWM-AHP

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Published:03 May 2020Publication History

ABSTRACT

Aiming at the many influence factors of innovation experimental teaching in Electronic Commerce, using EWM (Entropy Weight Method) and AHP (Analytic Hierarchy Process) deep fusion evaluation method to obtain the comprehensive influence weight of each factor. At the same time, according to the practice of experimental teaching and the data of evaluation and analysis, a series of opinions and suggestions on innovative experimental teaching are proposed, which provides the basis for the teaching reform decision of electronic commerce majors in colleges and universities. The accuracy of EWM-AHP deep fusion evaluation method is better than that of single method, which has strong scientific, reliable, theoretical and practical significance.

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  1. Research on the Impact Indicator System of E-Commerce Innovation Experimental Teaching: Deep Fusion Evaluation Method Based on EWM-AHP

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      cover image ACM Other conferences
      IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning
      January 2020
      441 pages
      ISBN:9781450372947
      DOI:10.1145/3377571

      Copyright © 2020 ACM

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      New York, NY, United States

      Publication History

      • Published: 3 May 2020

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