Skip to main content

Improvement on Subjective Weighing Method in Attribute Coordinate Comprehensive Evaluation Model

  • Conference paper
  • First Online:
Knowledge Management in Organizations (KMO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1027))

Included in the following conference series:

Abstract

Attribute coordinate comprehensive evaluation model provides an evaluation method for allowing the evaluator to subjectively weigh the indexes of the evaluated object. Specifically, the process of weighing is implemented by rating the given sample data to reflect the evaluator’s psychological weight upon some indexes. However, if the evaluated object includes many indexes, it is difficult for the evaluator to intuitively judge and accurately rate the sample data, which causes the great possibilities of rating the samples randomly and further influencing the final evaluation results. To address the problem, the paper changes the quantitative rating mode into qualitative judgment, and then converts the qualitative judgment into psychological weight, and finally evaluates all objects by the attribute coordinate comprehensive evaluation method. The experiment result shows the effectiveness of the improved method.

X. Lu and Y. Liu—The work was supported by the Key Disciplines of Computer Science and Technology of Shanghai Polytechnic University (No. XXKZD1604).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Qian, G.: Research on the index weight of logistics integration in Beijing-Tianjin-Hebei region based on cloud models. J. Yunnan Univ. Fin. Econ. 34(6), 96–104 (2018)

    Google Scholar 

  2. Ling, G.A.O., Li, J., Mu, H.: Stability evaluation method of surrounding rock based on cloud model and weight back analysis. Water Power 44(9), 42–46 (2018)

    Google Scholar 

  3. Yang, T.-m., Li, J.-m., He, B.-f.: Drought evaluation model based on improved fuzzy comprehensive evaluation. J. Comput. Appl. 32(z2), 41–44 (2012)

    Google Scholar 

  4. Tao, L., Shengyu, W.: Research on evaluation system of electricity market transaction in China based on gray relational grade analysis and fuzzy analytic hierarchy process. Ind. Technol. Econ. 37(9), 130–137 (2018)

    Google Scholar 

  5. Zhang, S., Du, W.: Analysis on influence factors of train reentrant ability based on analytic hierarchy process. Railway Comput. Appl. 27(9), 13–16 (2018)

    Google Scholar 

  6. Xu, X., Xu, G., Feng, J.: A kind of synthetic evaluation method based on the attribute computing network. In: IEEE International Conference on Granular Computing (GrC), pp. 644–647 (2009)

    Google Scholar 

  7. Xu, G., Min, S.: Research on multi-agent comprehensive evaluation model based on attribute coordinate. In: IEEE International Conference on Granular Computing (GrC), pp. 556–562 (2012)

    Google Scholar 

  8. Xu, G., Xu, X.: Study on evaluation model of attribute barycentric coordinates. Int. J. Grid Distrib. Comput. 9(9), 115–128 (2016)

    Article  Google Scholar 

  9. Xu, X., Xu, G., Feng, J.: Study on updating algorithm of attribute coordinate evaluation model. In: Huang, D.-S., Hussain, A., Han, K., Gromiha, M.M. (eds.) ICIC 2017. LNCS (LNAI), vol. 10363, pp. 653–662. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-63315-2_57

    Chapter  Google Scholar 

  10. Xu, X., Xu, G.: Research on ranking model based on multi-user attribute comprehensive evaluation method. Appl. Mech. Mater. 644, 644–650 (2014)

    Google Scholar 

  11. Xu, X., Xu, G.: A recommendation ranking model based on credit. In: IEEE International Conference on Granular Computing (GrC), pp. 569–572 (2012)

    Google Scholar 

  12. Xu, G., Wang, L.: Evaluation of aberrant methylation gene forecasting tumor risk value in attribute theory. J. Basic Sci. Eng. 16(2), 234 (2008)

    Google Scholar 

  13. Xu, X., Liu, Y., Feng, J.: Attribute coordinate comprehensive evaluation model combining principal component analysis. In: Shi, Z., Pennartz, C., Huang, T. (eds.) ICIS 2018. IAICT, vol. 539, pp. 60–69. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01313-4_7

    Chapter  Google Scholar 

  14. Xu, X., Feng, J.: A quantification method of qualitative indices based on inverse conversion degree functions. In: Enterprise Systems Conference, pp. 261–264 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Xiaolin Xu or Yan Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, X., Liu, Y., Feng, J. (2019). Improvement on Subjective Weighing Method in Attribute Coordinate Comprehensive Evaluation Model. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21451-7_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21450-0

  • Online ISBN: 978-3-030-21451-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics