Multiple criteria ranking by fuzzy data envelopment analysis

WSEAS Transactions on Computers

Volumn 5, Issue 5, 2006, Pages 810-816

  Lin, Pei Huang ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Data envelopment analysis; DEA; Fuzzy; Multiple criteria decision making

Indexed keywords

DECISION MAKING; FUNCTION EVALUATION; FUZZY SETS; MATHEMATICAL PROGRAMMING; MEMBERSHIP FUNCTIONS;

DATA ENVELOPMENT ANALYSIS; MULTIPLE CRITERIA RANKING; MULTIPLE INPUTS AND OUTPUTS;

DATA REDUCTION;

EID: 33744538278     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. Banker, R. D., Charnes, A., Cooper, W. W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, Vol. 30, 1984, pp. 1078-1092.
2. Bottomley, P. A., Doyle, J. R., A comparison of three weight elicitation methods: good, better, and best, Omega-International Journal of Management Science, Vol. 29, 2001, pp.553-560.
3. Chang, K. P., Guh, Y. Y., Linear production functions and the data envelopment analysis, European Journal of Operational Research, Vol. 52, 1991, pp. 215-223.
4. Charnes, A., Cooper, W. W., The non-Archimedean CCR ratio for efficiency analysis: a rejoinder to Body and Färe, European Journal of Operational Research, Vol. 15, 1984, pp. 333-334.
5. Charnes, A., Cooper, W. W., Rhodes, E., Measuring the efficiency of decision making units, European Journal of Operational Research, Vol. 2, 1978, pp. 429-444.
6. Chen, C. B., Klein, C. M., A simple approach to ranking a group of aggregated fuzzy utilities, IEEE Trans. Syst, Man, Cybern., Vol. 27, 1997, pp. 26-35.
7. Chen, S., Hwang, C., Fuzzy multiple criterion decision making, Berlin: Springer-Verlag, 1992.
8. Cook, W. D., Kress, M., A data envelopment model for aggregating preference ranking, Management Science, Vol. 36, 1990, pp. 1302-1310.
9. Efstathiou, J., Rajkovic, V., Multicriterion decision-making using a fuzzy heuristic approach, IEEE Trans. Syst, Man, Cybern., Vol. 9, 1979, pp. 326-333.
10. Entani, T., Maeda, Y., Tanaka, H., Dual models of interval DEA and its extension to interval data, European Journal of Operational Research, Vol. 136, No. 1, 2002, pp. 32-45.
11. Guitouni, A., Martel, J. M., Tentative guidelines to help choosing an appropriate MCDA method, European Journal of Operational Research, Vol. 109, 1998, pp. 501-521.
12. Guo, P., Tanaka, H., Fuzzy DEA: a perceptual evaluation method, Fuzzy Sets and Systems, Vol. 119, No. 1, 2001, pp. 149-160.
13. Jahanshahloo, G.R., Soleimani-damaneh, M., Nasrabadi, E., Measure of efficiency in DEA with fuzzy input-output levels: a methodology for assessing, ranking and imposing of weights restrictions, Applied Mathematics and Computation, Vol. 156, No. 1, 2004, pp. 175-187.
14. Kao, C., Liu, S. T., A mathematical programming approach to fuzzy efficiency ranking, Int. J. Production Economics, Vol. 86, 2003, pp. 145-153.
15. Kao, C., Evaluation of junior colleges of technology: the Taiwan case, European Journal of Operational Research, Vol. 72, 1994, pp. 43-51.
16. Kao, C., Liu, S.T., Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets and Systems, Vol. 113, No.3, 2000, pp. 427-437.
17. Klir, G. J., Yuan, B., Fuzzy sets and fuzzy logic: theory and application, Upper Saddle River, NJ: Prentice Hall, 1995.
18. Leon, T., Liern, V, Ruiz, J.L., Sirvent, I., A fuzzy mathematical programming approach to the assessment of efficiency with DEA models, Fuzzy Sets and Systems, Vol. 139, No.2, 2003, pp. 407-419.
19. Lertworasirikul, S., Fang, S., Joines, J., Nuttle, H., Fuzzy data envelopment analysis (DEA): a possibility approach, Fuzzy Sets and Systems, Vol. 139, No. 2, 2003, p.379-394.
20. Lovel, C. A. K., Pastor, J. T., Radial DEA models without inputs or outputs, European Journal of Operational Research, Vol. 118, 1999, pp. 46-51.
21. Pöyhönen, M., Hämäläinen, R. P., On the convergence of multicriterion weighting methods, European Journal of Operational Research, Vol. 129, 2001, pp. 569-585.
22. Saati, S., Memariani, A., Reducing weight flexibility in fuzzy DEA, Applied Mathematics and Computation, Vol. 161, No.2, 2005, pp. 611-622.
23. Shimizu, K., Baba, M., Shimada, K., The new role of the JUAA in Japanese university evaluation. Assessment & Evaluation in Higher Education, Vol. 25, 2000, pp. 51-60.
24. Weber, M., Borcherding, K., Behavioral-influences on weight judgments in multicriterion decision-making, European Journal of Operational Research, Vol. 67, 1993, pp. 1-12.
25. Yang, T., Kuo, C., A hierarchical AHP/DEA methodology for the facilities layout design problem, European Journal of Operational Research, Vol. 147, 2003, pp. 128-136.
26. Yoon, K. P., Hwang, C., Multiple attribute decision making: an introduction, CA: Sage, 1995.
27. Zadeh, L. A., Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, Vol. 1, 1978, pp.3-28.
28. Zadeh, L. A., Fuzzy sets. Information Control, Vol. 8, 1965, pp. 338-353.
29. Zeleny, M., Multiple criteria decision making,. New York: McGraw-Hill, 1982.