Advertisement

TOPSIS and AHP Model in the Application Research in the Evaluation of Coal

  • Guoying Yang
  • Qingling Wang
  • Jianqing LiuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9771)

Abstract

Aimed at the question of how to evaluate the coal quality, east Shenhua produced sales at shenhua group coal quality index data as the research object, using TOPSIS and AHP and combined two methods, through constructing the relative deviation matrix to determine the index weight, and gives the comprehensive sequencing of various kinds of coal.Structure deviation matrix to determine index weight not only effectively eliminate the dimensional, make the indicators are comparable, and make due to on the basis of rational scheme to build, to achieve the optimal.On the standardiZation and normaliZation of data put forward the improvement plan, gives the computing method of interval attribute data, improving the application range of the model.

Keywords

TOPSIS AHP Coal quality index Relative deviation matrix 

References

  1. 1.
    Li, D.Y., Li, H.M., Zhou, Y., et al.: Scientific evaluation method of mining of coal resources study. J. Coal 543, 543–547 (2012)Google Scholar
  2. 2.
    Bai, X.M., Zhao, S.S.: The Pros and cons of a variety of comprehensive evaluation method to judge the research. J. Stat. Res. 45–48 (2000). (cutflower production potentials)Google Scholar
  3. 3.
    Gong, J., Hu, N.L., Cui, X., et al.: Based on AHP And TOPSIS evaluation model of rock burst tendency prediction. J. Rock Mech. Eng. 1442–1448 (2014). (cutflower production potentials)Google Scholar
  4. 4.
    Hu, Z.Y., Tan, S.M., Peng, Y.: TOPSIS evaluation method based on fuzzy AHP study. Microcomput. Inf. Practices 261, 228–230 (2006)Google Scholar
  5. 5.
    Peng, X.Y., Zhang, Q.H.: The coal resources city sustainable development of the comprehensive evaluation method research. Pract. Underst. Math. 22–27 (2009)Google Scholar
  6. 6.
    Qin, Y., Tang, D.Z., Liu, D.M., et al.: Coal reservoir development dynamic geological evaluation theory and technology progress. J. Coal Sci. Technol. 1, 80–88 (2014)Google Scholar
  7. 7.
    Wan, M., Hu, M.Y., Tian, X.: Ningwu basin coal reservoir evaluation. J. Inner Mongolia, Petrochemical Ind. 120, 120–121 (2006)Google Scholar
  8. 8.
    Li, C.W., Xie, B.J.: Evaluation model of coal and gas outburst intensity energy. J. Coal. 9, 1547–1552 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of information processing and control engineeringLanZhou Petrochemical College of Vocational TechnologyLanzhouChina

Personalised recommendations