Checking the consistency of the solution in ordinal semi-democratic decision-making problems

Omega (United Kingdom)

Volumn 57, Issue , 2015, Pages 188-195

  Franceschini, Fiorenzo ^a   Maisano, Domenico ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

Consensus ordering; Consistency; Decision making; Importance rank ordering; Multi agent preference orderings; Ordinal semi democratic; Paired comparison

Indexed keywords

INPUT OUTPUT PROGRAMS; MULTI AGENT SYSTEMS;

AGENT'S PREFERENCES; CONSENSUS ORDERING; CONSISTENCY; DECISIONS MAKINGS; IMPORTANCE RANK-ORDERING; MULTI AGENT; MULTI-AGENT PREFERENCE ORDERING; ORDINAL SEMI-DEMOCRATIC; PAIRED COMPARISON; PREFERENCE ORDER; RANK ORDERING;

DECISION MAKING;

EID: 84942838839     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2015.04.014     Document Type: Article

References (29)

1. Bilbao-Terol A., Arenas-Parra M., Cañal-Fernández V., Antomil-Ibias J. Using TOPSIS for assessing the sustainability of government bond funds. Omega 2014, 49:1-17.
2. Borda, J.C. Mémoire sur les élections au scrutin, Comptes Rendus de l'Académie des Sciences. Translated by Alfred de Grazia (1953) Mathematical derivation of an election system, Isis, 44(1/2): 42-51, http://dx.doi.org/10.1086/348187.
3. Brandenburg F.J., Gleißner A., Hofmeier A. Comparing and aggregating partial orders with Kendall tau distances. Discrete Mathematics, Algorithms and Applications 2013, 5(2).
4. Brans J.P., Mareschal B. Multiple criteria decision analysis: state of the art surveys. International series in operations research and management science 2005, 163-195. Springer, New York, Chapter Promethee methods. J. Figueira, S. Greco, M. Ehrgott (Eds.).
5. Chen S., Liu J., Wang H., Augusto J.C. Ordering based decision making-a survey. Information Fusion 2012, 14(4):521-531.
6. Condorcet, MJANC.. Essai sur l'application de l'analyse à la probabilité des décisions redues à la pluralité des voix, Imprimerie Royale, Paris; 1785.
7. Cook W.D. Distance-based and ad hoc consensus models in ordinal preference ranking. European Journal of Operational Research 2006, 172(2):369-385.
8. Corrente S., Greco S., Słowiński R. Multiple criteria hierarchy process with Electre and Promethee. Omega 2013, 41(5):820-846.
9. Figueira J., Greco S., Ehrgott M. Multiple criteria decision analysis: state of the art surveys 2005, Springer, New York.
10. Fine B., Fine K. Social choice and individual ranking. Review of Economic Studies 1974, 41:303-322.
11. Fishburn P.C. Social choice functions. SIAM Review 1974, 16(1):63-90.
12. Franceschini F., Galetto M., Maisano D. Management by measurement: designing key indicators and performance measurement systems 2007, Springer, Berlin.
13. Franceschini F., Maisano D., Mastrogiacomo L. A novel algorithm for fusing preference orderings by rank-ordered agents. Fuzzy Sets and Systems 2015, 266:84-100. 10.1016/j.fss.2014.09.011.
14. Herrera-Viedma E., Cabrerizo F.J., Kacprzyk J., Pedrycz W. A review of soft consensus models in a fuzzy environment. Information Fusion 2014, 17:4-13.
15. Hwang C.L., Lin M.J. Group decision making under multiple criteria. Lectures notes in economics and mathematical systems 1987, 281. Springer-Verlag, Berlin.
16. Kendall M.G. Rank correlation methods 1970, C. Griffin and Company, London. 4th edition.
17. Jessop A. IMP: a decision aid for multiattribute evaluation using imprecise weight estimates. Omega 2014, 49:18-29.
18. Lebanon, G. Lafferty, J. Combining rankings using conditional probability models on permutations. In: Proceedings of the 19th international conference on machine learning (ICML), San Francisco (CA); 2002. Vol. 2: p. 363-70.
19. Martel J., Ben Khelifa S. Deux propositions d'aide multicritere a la decisions de groupe. Optimisations et Decisions 2000, 213-228. B. Abdelaziz (Ed.).
20. Nederpelt R., Kamareddine F. Logical reasoning: a first course 2004, King's College Publications, London.
21. Ng K.B., Kantor P.B. Predicting the effectiveness of naive data fusion on the basis of system characteristics. Journal of the American Society for Information Science 2000, 51(13):1177-1189.
22. Saaty T.L. The analytic hierarchy process: planning, priority and allocation 1980, McGraw-Hill, New York.
23. Spearman C. The proof and measurement of association between two things. American Journal of Psychology 1904, 15(1):72-101.
24. Yager R.R. Fusion of multi-agent preference orderings. Fuzzy Sets and Systems 2001, 117(1):1-12.
25. Vora, A., Paunwala, C.N., Paunwala, M.. Improved weight assignment approach for multimodal fusion. In: Proceedings of the 2014 international conference on circuits, systems, communication and information technology applications (CSCITA); 2014. p. 70-74.
26. Wang B., Liang J., Qian Y. Determining decision makers' weights in group ranking: a granular computing method. International Journal of Machine Learning and Cybernetics 2014, 6(3):511-521.
27. Wang J. Fusion of multiagent preference orderings with information on agent's importance being incomplete certain. Journal of Systems Engineering and Electronics 2007, 18(4):801-805.
28. Wu S., McClean S. Performance prediction of data fusion for information retrieval. Information Processing and Management 2006, 42(4):899-915.
29. Zopounidis C., Pardalos P. Handbook of multicriteria analysis. Applied Optimization 2010, Vol. 103. Springer, Berlin.