Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 239634, 9 pages
http://dx.doi.org/10.1155/2015/239634
Research Article

New Combined Weighting Model Based on Maximizing the Difference in Evaluation Results and Its Application

Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China

Received 17 May 2015; Revised 2 August 2015; Accepted 18 August 2015

Academic Editor: Davide La Torre

Copyright © 2015 Bin Meng and Guotai Chi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. L. Saaty, “Measuring the fuzziness of sets,” Journal of Cybernetics, vol. 4, no. 4, pp. 53–61, 1974. View at Publisher · View at Google Scholar · View at Scopus
  2. W. N. Pi, “Supplier evaluation using AHP and TOPSIS,” Journal of Science and Engineering Technology, vol. 1, pp. 75–83, 2005. View at Google Scholar
  3. W.-N. Pi and C. Low, “Supplier evaluation and selection via Taguchi loss functions and an AHP,” International Journal of Advanced Manufacturing Technology, vol. 27, no. 5-6, pp. 625–630, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. R. V. Rao, “Machinability evaluation of work materials using a combined multiple attribute decision-making method,” The International Journal of Advanced Manufacturing Technology, vol. 28, no. 3-4, pp. 221–227, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. H.-J. Shyur, “COTS evaluation using modified TOPSIS and ANP,” Applied Mathematics and Computation, vol. 177, no. 1, pp. 251–259, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. B. Brown, Delphi Process: A Methodology Using for the Elicitation of Opinions of Experts, no. 9, RAND Corporation, Santa Monica, Calif, USA, 1987.
  7. H. Deng, C.-H. Yeh, and R. J. Willis, “Inter-company comparison using modified TOPSIS with objective weights,” Computers and Operations Research, vol. 27, no. 10, pp. 963–973, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  8. F. García, F. Guijarro, and I. Moya, “A goal programming approach to estimating performance weights for ranking firms,” Computers & Operations Research, vol. 37, no. 9, pp. 1597–1609, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. F. García, V. Giménez, and F. Guijarro, “Credit risk management: a multicriteria approach to assess creditworthiness,” Mathematical and Computer Modelling, vol. 57, no. 7-8, pp. 2009–2015, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Shanian and O. Savadogo, “A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis,” Expert Systems with Applications, vol. 36, no. 2, pp. 1362–1370, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. D. Diakoulaki, G. Mavrotsa, and L. Papayanakis, “Determining objective weights in multiple criteria problems: the critic method,” Computers and Operations Research, vol. 22, no. 7, pp. 763–770, 1995. View at Publisher · View at Google Scholar
  12. K. Maniya and M. G. Bhatt, “A selection of material using a novel type decision-making method: preference selection index method,” Materials and Design, vol. 31, no. 4, pp. 1785–1789, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. C. L. Hwang and K. Yoon, Multiple Attribute Decision Making Methods and Applications, Springer, Berlin, Germany, 1981. View at MathSciNet
  14. K. Zbikowski, “Using volume weighted support vector machines with walk forward testing and feature selection for the purpose of creating stock trading strategy,” Expert Systems with Applications, vol. 42, no. 4, pp. 1797–1805, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. B. Aouni, C. Colapinto, and D. La Torre, “Financial portfolio management through the goal programming model: current state-of-the-art,” European Journal of Operational Research, vol. 234, no. 2, pp. 536–545, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. Y. Sun and X. Z. Bao, “A new combination weighting method and its application based on maximizing deviations,” Chinese Journal of Management Science, vol. 6, pp. 141–148, 2011. View at Google Scholar
  17. G. Li and G. T. Chi, “The comprehensive evaluation of all-round human development based on level different maximization,” China Soft Science Magazine, vol. 9, pp. 147–155, 2009. View at Google Scholar
  18. Z. Li, G. Chi, and Z. Xu, “Measurement model of project risks of commercial banks based on combination weighting,” Industrial Engineering and Engineering Management, vol. 6, pp. 499–509, 2013. View at Google Scholar
  19. C. Qian, M. Zhang, Y. Chen, and R. Wang, “A quantitative judgment method for safety admittance of facilities in chemical industrial parks based on g1-variation coefficient method,” Procedia Engineering, vol. 84, pp. 223–232, 2014. View at Google Scholar
  20. K. Khalili-Damghani and S. Sadi-Nezhad, “A decision support system for fuzzy multi-objective multi-period sustainable project selection,” Computers & Industrial Engineering, vol. 64, no. 4, pp. 1045–1060, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Gao, Z. Dai, and W. Liu, “Modeling dynamic trust and risk evaluation based on high-order moments,” Mathematical Problems in Engineering, vol. 2015, Article ID 789820, 9 pages, 2015. View at Publisher · View at Google Scholar
  22. P. Wang, Y. Li, Y.-H. Wang, and Z.-Q. Zhu, “A new method based on topsis and response surface method for MCDM problems with interval numbers,” Mathematical Problems in Engineering, vol. 2015, Article ID 938535, 11 pages, 2015. View at Publisher · View at Google Scholar
  23. M.-R. Ghasemi, J. Ignatius, and A. Emrouznejad, “A bi-objective weighted model for improving the discrimination power in MCDEA,” European Journal of Operational Research, vol. 233, no. 3, pp. 640–650, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  24. Postal Savings Bank of China, The Business Credit Rating Table of Postal Savings Bank of China, The business credit rating table of Postal Savings Bank of China, 2009.