Consensus-based clustering under hesitant qualitative assessments

Fuzzy Sets and Systems

Volumn 292, Issue , 2016, Pages 261-273

  García Lapresta, José Luis ^a   Pérez Román, David ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Clustering; Consensus; Linguistic assessments

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATIONAL LINGUISTICS;

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLUSTERING; CONSENSUS; FEASIBLE ALTERNATIVES; LINGUISTIC ASSESSMENT; LINGUISTIC EXPRESSIONS; LINGUISTIC TERMS; QUALITATIVE ASSESSMENTS;

LINGUISTICS;

EID: 84901087635     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2014.05.004     Document Type: Article

References (38)

1. N. Agell, M. Sánchez, F. Prats, and L. Roselló Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions Inf. Sci. 209 2012 49 60
2. N. Agell, G. Sánchez, M. Sánchez, and F.J. Ruiz Selecting the best taste: a group decision-making application to chocolates design Proceedings of the 2013 IFSA-NAFIPS Joint Congress Edmonton 2013 939 943
3. J. Alcalde-Unzu, and M. Vorsatz Measuring the cohesiveness of preferences: an axiomatic analysis Soc. Choice Welf. 41 2013 965 988
4. M. Balinski, and R. Laraki A theory of measuring, electing and ranking Proc. Natl. Acad. Sci. USA 104 2007 8720 8725
5. M. Balinski, and R. Laraki Majority Judgment. Measuring, Ranking, and Electing 2011 The MIT Press Cambridge, MA
6. M. Balinski, and R. Laraki Election by majority judgement: experimental evidence B. Dolez, B. Grofman, A. Laurent, Situ and Laboratory Experiments on Electoral Law Reform: French Presidential Elections Studies in Public Choice vol. 25 2011 Springer Berlin 13 54
7. G. Beliakov, A. Pradera, and T. Calvo Aggregation Functions: A Guide for Practitioners 2007 Springer Heidelberg
8. R. Bosch Characterizations of voting rules and consensus measures Ph.D. dissertation 2005 Tilburg University
9. P. Eklund, A. Rusinowska, and H. de Swart Consensus reaching in committees Eur. J. Oper. Res. 178 2007 185 193
10. B. Erdamar, J.L. García-Lapresta, D. Pérez-Román, and M.R. Sanver Measuring consensus in a preference-approval context Inf. Fusion 17 2014 14 21
11. V. Estivill-Castro Why so many clustering algorithms: a position paper ACM SIGKDD Explor. Newsl. 4 2002 65 75
12. B.S. Everitt, S. Landau, and M. Leese Cluster Analysis 4th edition 2001 Oxford University Press New York
13. E. Falcó, J.L. García-Lapresta, and L. Roselló Aggregating imprecise linguistic expressions P. Guo, W. Pedrycz, Human-Centric Decision-Making Models for Social Sciences 2014 Springer-Verlag Berlin 97 113
14. E. Falcó, J.L. García-Lapresta, and L. Roselló Allowing agents to be imprecise: a proposal using multiple linguistic terms Inf. Sci. 258 2014 249 265
15. J. Fodor, and M. Roubens Fuzzy Preference Modelling and Multicriteria Decision Support 1994 Kluwer Academic Publishers Dordrecht
16. J.L. García-Lapresta, C. Aldavero, and S. de Castro A linguistic approach to multi-criteria and multi-expert sensory analysis Proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2014, Montpellier 2014
17. J.L. García-Lapresta, and D. Pérez-Román Measuring consensus in weak orders E. Herrera-Viedma, J.L. García-Lapresta, J. Kacprzyk, H. Nurmi, M. Fedrizzi, S. Zadrȯzny, Consensual Processes STUDFUZZ vol. 267 2011 Springer-Verlag Berlin 213 234
18. J.L. García-Lapresta, and D. Pérez-Román Consensus-based hierarchical agglomerative clustering in the context of weak orders Proceedings of the 2013 IFSA-NAFIPS Joint Congress Edmonton 2013 1010 1015
19. C. Gini Variabilità e Mutabilità 1912 Tipografia di Paolo Cuppini Bologna
20. M. Grabisch, J.L. Marichal, R. Mesiar, and E. Pap Aggregation Functions 2009 Cambridge University Press Cambridge
21. A.K. Jain, M.N. Murty, and P.J. Flynn Data clustering: a review ACM Comput. Surv. 31 3 1999 264 323
22. J. Kacprzyk, M. Fedrizzi, and H. Nurmi Group decision making and consensus under fuzzy preferences and fuzzy majority Fuzzy Sets Syst. 49 1992 21 31
23. E. Levrat, A. Voisin, S. Bombardier, and J. Bremont Subjective evaluation of car seat comfort with fuzzy set techniques Int. J. Intell. Syst. 12 1997 891 913
24. C.D. Manning, P. Raghavan, and H. Schütze Introduction to Information Retrieval 2008 Cambridge University Press
25. L. Roselló, F. Prats, N. Agell, and M. Sánchez Measuring consensus in group decisions by means of qualitative reasoning Int. J. Approx. Reason. 51 2010 441 452
26. L. Roselló, F. Prats, N. Agell, and M. Sánchez A qualitative reasoning approach to measure consensus E. Herrera-Viedma, J.L. García-Lapresta, J. Kacprzyk, H. Nurmi, M. Fedrizzi, S. Zadrozny, Consensual Processes STUDFUZZ vol. 267 2011 Springer-Verlag Berlin 235 261
27. L. Roselló, M. Sánchez, N. Agell, F. Prats, and F.A. Mazaira Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making Inf. Fusion 17 2014 83 92
28. S. Saint, and J.R. Lawson Rules for Reaching Consensus: A Modern Approach to Decision Making 1994 Jossey-Bass San Francisco
29. V. Torra Hesitant fuzzy sets Int. J. Intell. Syst. 25 2010 529 539
30. V. Torra, and Y. Narukawa Modeling Decisions: Information Fusion and Aggregation Operators 2007 Springer Berlin
31. L. Travé-Massuyès, and P. Dague Modèles et Raisonnements Qualitatifs 2003 Hermes Science Paris
32. L. Travé-Massuyès, and N. Piera The orders of magnitude models as qualitative algebras Proceedings of the 11th International Joint Conference on Artificial Intelligence Detroit 1989
33. A. Valls, and V. Torra Using classification as an aggregation tool in MCDM Fuzzy Sets Syst. 115 2000 159 168
34. T.S. Wallsten, D.V. Budescu, A. Rapoport, R. Zwick, and B. Forsyth Measuring the vague meanings of probability terms J. Exp. Psychol. 115 1986 348 365
35. J.H. Ward Jr. Hierarchical grouping to optimize an objective function J. Am. Stat. Assoc. 58 1963 236 244
36. L.A. Zadeh Fuzzy logic = computing with words IEEE Trans. Fuzzy Syst. 4 1996 103 111
37. L.A. Zadeh Computing with Words 2012 Springer Berlin
38. A.C. Zimmer Verbal vs. numerical processing of subjective probabilities R.W. Scholz, Decision Making Under Uncertainty 1983 North-Holland Amsterdam 159 182