Using vote-ranking and cross-evaluation methods to assess the performance of nations at the Olympics

WSEAS Transactions on Systems

Volumn 6, Issue 6, 2007, Pages 1196-1205

  Hai, Hui Lin ^a  

^a SHIH CHIEN UNIVERSITY   (Taiwan)

Author keywords

Cross evaluation; Data Envelopment Analysis (DEA); Vote ranking

Indexed keywords

DATA ENVELOPMENT ANALYSIS; DECISION SUPPORT SYSTEMS; PROJECT MANAGEMENT; STATISTICAL METHODS;

CROSS-EVALUATION METHOD; TRADITIONAL LEXICOGRAPHIC METHOD; VOTE-RANKING METHOD;

DECISION THEORY;

EID: 34347390890     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Condon, E.M., Golden, B.L. and Wasil, E.A., Predicting the Success of Nations at the Summer Olympics Using Neural Networks, Computers and Operations Research, 26, 1999, pp. 1243-1265.
2. Lozano, S., Villa, G., Guerrero, F. and Cortes, P., Measuring the Performance of Nations at the Summer Olympics Using Data Envelopment Analysis, Journal of the Operational Research Society, 53, 2002, pp. 501-511.
3. Lins, M.P.E., Gomes, E.G., Soares de Mello, J.C.C.B. and Soares de Mello, A.J.R., Olympic Ranking Based on a Zero Sum Gains DEA Model, European Journal of Operational Research, 148, 2003, pp. 312-322.
4. Villa, G and Lozano, S., A Constant Sum of Outputs DEA Model for Olympic Games Target Setting, Data Envelopment Analysis and Performance Management edited by. Emrouznejad, A., and Podinovski, V. in the 4th Symposium of DEA, 2004, pp. 9-15.
5. Charnes, A., Cooper, W.W. and Rhodes, E., Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, 2, 1978, pp. 429-444.
6. Cooper, W.W., Seiford L.M. and Tone, K., Data Envelopment Analysis - a Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, Boston, 2000.
7. Jenkins, L. and Anderson, M., A Multivariate Statistical Approach to Reducing the Number of Variables in Data Envelopment Analysis, European Journal of Operational Research, 147, 2003, pp. 461-472.
8. Cook, W.D. and Kress, M., A Data Envelopment Model for Aggregating Preference Rankings, Management Science, 36(11),1990, pp. 1302-1310.
9. Cook, W.D. and Kress, M., Ordinal Information and Preference Structure: Decision Models and Applications. Prentice Hall, New Jersey, 1992.
10. Obata, T. and Ishii, H., A Method for Discriminating Efficient Candidates with Ranked Voting Data, European Journal of Operational Research, 151, 2003, pp. 233-237.
11. Green, R.H., Doyle, J.R. and Cook, W.D., Preference Voting and Project Ranking Using DEA And Cross-Evaluation, European Journal of Operational Research, 90, 1996, pp. 461-472.
12. Noguchi, H., Ogawa, M. and Ishii, H., The Appropriate Total Ranking Method Using DEA for Multiple Categorized Purposes, Journal of Computational and Applied Mathematics, 146, 2002, pp. 155-166.
13. Liu, F.H.F. and Hai, H.L., The Voting Analytic Hierarchy Process Method for Selecting Supplier, The International Journal of Production Economics, 97, 2005, pp. 308-317,.
14. Adler, N., Friedman, L. and Sinuany-Stern, Z., Review of Ranking Methods in the Data Envelopment Analysis Context, European Journal of Operational Research, 140, 2002, pp. 249-256.
15. Doyle, J.R. and Green, R.H., Efficiency and Cross-Efficiency in DEA: Derivations, Meanings and Uses, Journal of the Operational Research Society, 45(5), 1994, pp. 567-578.
16. Walpole, R.E., Introduction to Statistics, 3rd edition, Macmillan, New York, 1982.