An approach to group ranking decisions in a dynamic environment

Decision Support Systems

Volumn 48, Issue 4, 2010, Pages 622-634

  Chen, Yen Liang ^a   Cheng, Li Chen ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b SOOCHOW UNIVERSITY   (Taiwan)

Author keywords

Data mining; Group decision making; Group ranking; Maximum consensus sequence

Indexed keywords

COMPUTATIONALLY EFFICIENT; CONSENSUS SEQUENCE; DECISION MAKERS; DYNAMIC ENVIRONMENTS; GROUP RANKING; INPUT FORMAT; INPUT MODES; MINING PROBLEMS; PARTIAL RANKINGS; PREFERENCE DATA; RANKING PROBLEMS; SYNTHETIC DATASETS;

DECISION MAKING;

EID: 75349113815     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2009.12.003     Document Type: Article

References (26)

1. Bartholdi J., Tovey C.A., and Trick M.A. Voting schemes for which it can be difficult to tell who won the election. Social Choice and Welfare 6 2 (1989) 157-165
2. Beg M.M.S., and Ahmad N. Soft computing techniques for rank aggregation on the World Wide Web. World Wide Web-Internet and Web Information Systems 6 1 (2003) 5-22
3. Bogart K. Preference structures I: distances between transitive preference relations. Journal of Math Sociology 3 (1973) 49-67
4. Bogart K. Preference structures II: distances between asymmetric relations. SIAM Journal of Applied Math 29 2 (1975) 254-265
5. Borda J.C. Memoire sur les elections au scrutin (1981), Histoire de l'Academie Royale de Science, Paris
6. Chen Y.L., and Cheng L.C. A novel collaborative filtering approach for recommending ranked items. Expert Systems with Applications 34 4 (2008) 2396-2405
7. Chen Y.L., and Cheng L.C. Mining maximum consensus sequences from group ranking data. European Journal of Operational Research 198 1 (2009) 241-251
8. Cohen W. Learning to order things. Journal of Artificial Intelligence Research 10 (1999) 243
9. Cook W.D. Distance-based and ad hoc consensus models in ordinal preference ranking. European Journal of Operational Research 172 2 (2006) 369-385
10. Cook W.D., Kress M., and Seiford L. An axiomatic approach to distance on partial orders, Revue Automatique. Informatique et Recherche Operationnelle 20 2 (1986) 115-122
11. Cook W.D., Kress M., and Seiford L. Information and preference in partial orders: a bimatrix representation. Psychometrika 51 2 (1986) 197-207
12. Cook W.D., Kress M., and Seiford L. A general framework for distance-based consensus in ordinal ranking models. European Journal of Operational Research 96 (1996) 392-397
13. Cook W.D., Golany B., Kress M., Penn M., and Raviv T. Optimal allocation of proposals to reviewers to facilitate effective ranking. Management Science 51 4 (2005) 655-661
14. Cook W.D., Golany B., Kress M., Penn M., and Raviv T. Creating a consensus ranking of proposals from reviewer's partial ordinal rankings. Computers & OR 34 4 (2007) 954-965
15. Damart S., Dias L.C., and Mousseau V. Supporting groups in sorting decisions: methodology and use of a multi-criteria aggregation/disaggregation DSS. Decision Support Systems 43 4 (2007) 1464-1475
16. Fagin R., Kumar R., and Sivakumar D. Efficient similarity search and classification via rank aggregation. Proceedings of the ACM SIGMOD international conference on management of data (2003), ACM, San Diego, California 301-312
17. Fernandez E., and Olemdo R. An agent model based on ideas of concordance and discordance for group ranking problems. Decision Support Systems 39 3 (2005) 429
18. Golden B. The analytic hierarchy process: applications and studies (1989), Springer, New York NY
19. Gonzalez-Pachon J., and Romero C. Aggregation of partial ordinal rankings: an interval goal programming approach. Computers and Operations Research 28 8 (2001) 827-834
20. Greco S., Mousseau V., and Slowinski R. Ordinal regression revisited: multiple criteria ranking using a set of additive value functions. European Journal of Operational Research 191 2 (2008) 416-436
21. Hochbaum D.S., and Levin A. Methodologies and algorithms for group-rankings decision. Management Science 52 9 (2006) 1394-1408
22. Kemeny J.G., and Snell L.J. Preference ranking: an axiomatic approach. Proceedings of mathematical models in the social science (1962) 9-23
23. Kendall M. Rank correlation methods. Third (1955), Hafner, New York
24. Robert F.D., and Ernest H.F. Group decision support with the analytic hierarchy process. Decision Support System 8 2 (1992) 99-124
25. Saaty T.L. Rank generation, preservation, and reversal in the analytic hierarchy decision process. Decision Sciences 18 2 (1987) 157
26. Saint S., and Lawson J.R. Rules for Reaching Consensus: A Modern Approach to Decision Making (1994), Pfeiffer & Company