Advertisement

A Research of FAHP Approach in Evaluating Online Training System Alternatives

  • Liping LiEmail author
  • Dan Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1002)

Abstract

With the coming of “Internet Plus” Era, knowledge economy forces people to keep learning and then flexible online self-study pattern becomes more and more popular. Also the selecting process of an alternative vendor has been very important issue for online training companies. This paper proposes a structured math model for evaluating online training system alternatives using the fuzzy analytical hierarchy process (FAHP), aims to demonstrate how FAHP model can help in solving such decisions in practice. After summarizing related literature review and brief overview of fuzzy AHP, the effectiveness of FAHP model was illustrated by using a case company in China. Hope to make some theoretical and practical contributions on evaluating online training system alternatives.

Keywords

Analytical hierarchy process (AHP) Fuzzy set theory Pair wise comparison Alternatives selection 

References

  1. 1.
    Kaufmann, A.: Introduction to Fuzzy Arithmetic Theory and Application, p. 574. Van Nostrand, New York (1991)Google Scholar
  2. 2.
    Chan, F., Chung, S.: Multi-criteria genetic optimization for distribution network problems. Int. J. Adv. Manuf. Technol. 24(7–8), 517–532 (2004)CrossRefGoogle Scholar
  3. 3.
    Chang, D.Y.: Applications of the extent analysis method on fuzzy ahp. Eur. J. Oper. Res. 95(3), 649–655 (1996)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Handfield, R., Walton, S.V., et al.: Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. Eur. J. Oper. Res. 141(1), 70–87 (2002)CrossRefGoogle Scholar
  5. 5.
    Klir, G.J., Yuan, B.: Fuzzy sets and Fuzzy Logic: Theory and Applications, vol. 574. Prentice Hall PTR NJ (1995)Google Scholar
  6. 6.
    Lee, A.R.: Application of modified fuzzy ahp method to analyze bolting sequence of structural joints. UMI Dissertation Service. A Bell & Howell Company (1995)Google Scholar
  7. 7.
    Liu, J., Ding, F.Y., Lall, V.: Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Manag. Int. J. 5(3), 143–150 (2000)CrossRefGoogle Scholar
  8. 8.
    Lucas, R.I., Promentilla, M.A., et al.: An ahp-based evaluation method for teacher training workshop on information and communication technology. Eval. Program Plan. 63, 93–100 (2017)CrossRefGoogle Scholar
  9. 9.
    Pan, J., Xue, F., Fan, Q., Fang, J.: Research on the evaluation method of outboard active decoy based on fuzzy-ahp. Aerosp. Electron. Warf. 02, 45–52 (2018)Google Scholar
  10. 10.
    Saaty, T.L.: The Analytical Hierarchy Process. McGraw Hill, New York (1981)Google Scholar
  11. 11.
    Saaty, T.L.: Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, vol. 6. RWS Publications (2000)Google Scholar
  12. 12.
    Soffer, T., Nachmias, R.: Effectiveness of learning in online academic courses compared with face-to-face courses in higher education. J. Comput. Assist. Learn. 34(5), 534–543 (2018)CrossRefGoogle Scholar
  13. 13.
    Li, S., Li, H., Wl, Huang: The evaluation method of electromagnetic environment complexity in radar countermeasure training based on grey-ahp. Radar & ECM 3, 35–42 (2011)Google Scholar
  14. 14.
    Vaidya, O.S., Kumar, S.: Analytic hierarchy process: an overview of applications. Eur. J. Oper. Res. 169(1), 1–29 (2006)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Wang, Q.Z., Guo, A.B., et al.: Performance evaluation method of armored unit simulation training based on AHP. Comput. Simul. 10, 56–63 (2015)Google Scholar
  16. 16.
    Weber, C.A., Current, J., Desai, A.: An optimization approach to determining the number of vendors to employ. Supply Chain Manag. 5(2), 90–98 (2000)CrossRefGoogle Scholar
  17. 17.
    Zadeh, L.A.: Fuzzy logic, neural networks, and soft computing. Commun. ACM 37(3), 77–85 (1994)CrossRefGoogle Scholar
  18. 18.
    Zhu, K.J., Jing, Y., Chang, D.Y.: A discussion on extent analysis method and applications of fuzzy ahp. Eur. J. Oper. Res. 116(2), 450–456 (1999)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Public ManagementSichuan UniversityChengduPeople’s Republic of China
  2. 2.School of ManagementSichuan University Jinjiang CollegePengshanPeople’s Republic of China

Personalised recommendations