An optimised method of weighting combination in multi-index comprehensive evaluation

International Journal of Applied Decision Sciences

Volumn 3, Issue 1, 2010, Pages 34-52

  Ren, Jing ^a   Xiong, Yijie ^a  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Applied decision sciences; EAHP; Extension AHP; Extension analysis; Information entropy; Multi index comprehensive evaluation; Weighting combination

Indexed keywords

EID: 77949798250     PISSN: 17558077     EISSN: 17558085     Source Type: Journal    
DOI: 10.1504/IJADS.2010.032239     Document Type: Article

References (23)

1. Chang, J. E. and Jiang, T. L. (2007) 'Research on the weight of coefficient through analytic hierarchy process', Journal of Wuhan University of Technology, Vol. 29, No. 1, pp. 153-155.
2. Chen, J., Yang, Q. and Lou, H. Y. (2008) 'Determination of indices and their weight coefficients for aging valuation of pumping station', Engineering Journal of Wuhan University, Vol. 41, No. 3, pp. 64-67.
3. Chen, W. and Xia, J. H. (2007) 'An optimal weights combination method considering both subjective and objective weight information', Mathematics in Practice and Theory, Vol. 37, No. 1, pp. 17-22.
4. Chifos, C. and Jain, R. K. (1998) 'Comprehensive methodology for evaluating the commercial potential of technologies: the strategic technology evaluation method', International Journal of Industrial Engineering: Theory Applications and Practice, Vol. 4, No. 4, pp. 220-235.
5. Cui, X. H. (2008) 'Weighted algorithm for fingerprinting relational databases', Transactions of Nanjing University of Aeronautics & Astronautics, Vol. 25, No. 2, pp. 148-153.
6. Foster, K. T., Sugiyama, G., Nasstrom, J. S., Leone, J. M., Chan, S. T. and Bowen, B. M. (2000) 'The use of an operational model evaluation system for model inter-comparison', International Journal of Environment and Pollution, Vol. 14, Nos. 1-6, pp. 77-88.
7. Huo, Y. B. and Han, Z. J. (2005) 'Research on giving weight for multi-indicator based on GME principle and GA', Application of Statistics and Management, Vol. 24, No. 3, pp. 39-50.
8. John, C. S. and Tang, I. N. (1993) 'Sector priority and technology choice in the Korean machinery industry', International Journal of Technology Management, Vol. 8, Nos. 3-5, pp. 333-341.
9. Labudda, K. D. (1994) 'Fuzzy multi-objective approach to power system state estimation', International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 2, No. 2, pp. 83-91.
10. Lu, L. P. and Wang, S. F. (2006) 'Application of fuzzy hierarchy method in urban intersection evaluation', Journal of Wuhan University of Science and Technology, Vol. 29, No. 3, pp. 286-288.
11. Lycurgus, L. L. (1999) 'The future impact of technology in the Greek health sector', International Journal of Healthcare Technology and Management, Vol. 1, Nos. 3-4, pp. 409-414.
12. Pang, F. H., Zhang, N. Q., Li, Y. Y. and Chai, Y. J. (2008) 'Evaluation of water quality by standard deviation weight fuzzy assessment on water source area in middle line project of transferring water from south to north', Journal of Northwest A & F University (Natural Science Edition), Vol. 36, No. 2, pp. 229-234.
13. Peng, G. F., Li, S. H. and Sheng, M. K. (2004) 'AHP in evaluating government performance: determining indicator weight', China Soft Science, No. 6, pp. 136-139.
14. Pentti, M. (1987) 'Environmental problems of modern societies', International Journal of Technology Management, Vol. 2 No. 2, pp. 263-278.
15. Philipp, A. and Peter, R. (2000) 'Acceptance of modern biotechnology in developing countries: a case study of the Philippines', International Journal of Biotechnology, Vol. 2, Nos. 1-3, pp. 115-131.
16. Prasanta, K. D., Stephen, O. O., Mario, T. T. and Soumitra, S. G. (2001) 'Multiple attribute decision making approach to petroleum pipeline route selection', International Journal of Services Technology and Management, Vol. 2, Nos. 3-4, pp. 347-362.
17. Shuiabi, E., Thomoson, V. and Bhuiyan, N. (2005) 'Entropy as a measure of operational flexibility', European Journal of Operational Research, Vol. 165, No. 3, pp. 696-707.
18. Thierry, G. (1999) 'Public research industry relationships: efficiency conditions in current innovation', International Journal of Technology Management, Vol. 17, No. 3, pp. 334-350.
19. Tian, J. F. (2008) 'Entropy weight coefficient method for evaluating intrusion detection systems', Proceedings of the International Symposium on Electronic Commerce and Security, No. 2, pp. 592-598.
20. Vistasp, M. K. (1994) 'The analytic hierarchy process: a viable decision tool for composite materials?', International Journal of Technology Management, Vol. 9, No. 1, pp. 77-93.
21. Wu, J., Liang, C. Y. and Li, W. N. (2007) 'Method to determine attribute weights based on subjective and objective integrated', Systems Engineering and Electronics, Vol. 29, No. 3, pp. 383-387.
22. Zeng, M. R., GAO, J. M. and Liu, J. (2008) 'Study on affecting factors and its weight value of regional work safety risk', Journal of Safety Science and Technology, Vol. 4, No. 3, pp. 67-70.
23. Zhang, C., Zhu, W. D. and Yang, S. L. (2007) 'The Chinese commercial bank's operational risk measurement model on entropy', Forecasting, Vol. 26, No. 5, pp. 55-58.