Consensus measures constructed from aggregation functions and fuzzy implications
Tài liệu tham khảo
Alcalde-Unzu, 2011, Measuring consensus: concepts, comparisons and properties, 195
J. Alcalde-Unzu, M. Vorsatz. Measuring the cohesiveness of preferences: an axiomatic analysis, Social Choice and Welfare, 2012, doi:10.1007/s00355-012-0716-9:1-24 (in press).
Alonso, 2010, A web based consensus support system for group decision making problems and incomplete preferences, Information Sciences, 180, 4477, 10.1016/j.ins.2010.08.005
Baczyński, 2008
2013
Baczyński, 2000, Monotonic fuzzy implications, 90
G. Beliakov, T. Calvo, S. James, Aggregating fuzzy implications to measure group consensus, in: Proceedings of IFSA World Congress, Edmonton, Canada, 2013. pp. 1016–1021,.
Beliakov, 2010, Generalized Bonferroni mean operators in multi-criteria aggregation, Fuzzy Sets and Systems, 161, 2227, 10.1016/j.fss.2010.04.004
Beliakov, 2007
Ben-Arieh, 2006, Linguistic-labels aggregation and consensus measure for autocratic decision making using group recommendations, IEEE Transactions on Systems, Man and Cybernetics – Part A: Systems and Humans, 36, 558, 10.1109/TSMCA.2005.853488
Bonferroni, 1950, Sulle medie multiple di potenze, Bollettino Matematica Italiana, 5, 267
R. Bosch, Characterizations of Voting Rules and Consensus Measures, Ph.D. Thesis. Universiteit van Tilburg, 2006.
Bustince, 2006, Restricted equivalence functions, Fuzzy Sets and Systems, 157, 2333, 10.1016/j.fss.2006.03.018
Bustince, 2008, Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: image thresholding invariant, Pattern Recognition Letters, 29, 525, 10.1016/j.patrec.2007.11.007
Bustince, 2006, Restricted equivalence functions, Fuzzy Sets and Systems, 157, 2333, 10.1016/j.fss.2006.03.018
Cabrerizo, 2010, Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks, Soft Computing, 14, 451, 10.1007/s00500-009-0453-x
Chiclana, 2013, A statistical comparative study of different similarity measures of consensus in group decision making, Information Sciences, 221, 110, 10.1016/j.ins.2012.09.014
Chiclana, 2008, Integration of a consistency control module within a consensus model, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16, 35, 10.1142/S0218488508005236
Deza, 2009
B. Erdamar, J.L. García-Lapresta, D. Pérez-Román, M.R. Sanver, Measuring consensus in a preference-approval context, Information Fusion, 2012, doi:10.1016/ j.inffus.2012.02.004:1-8 (in press).
García-Lapresta, 2001, Majority decisions based on difference of votes, Journal of Mathematical Economics, 35, 463, 10.1016/S0304-4068(01)00055-6
García-Lapresta, 2010, Preference intensities and majority decisions based on difference of support between alternatives, Group Decision and Negotiation, 19, 527, 10.1007/s10726-009-9156-z
J.L. García-Lapresta, D. Pérez-Román, Consensus-based hierarchical agglomerative clustering in the context of weak orders, in: Proceedings of IFSA World Congress, Edmonton, Canada, 2013, pp. 1010–1015.
Grabisch, 2009
Herrera, 1996, A model of consensus in group decision making under linguistic assessments, Fuzzy Sets and Systems, 78, 73, 10.1016/0165-0114(95)00107-7
Herrera-Viedma, 2007, A consensus model for group decision making with incomplete fuzzy preference relations, IEEE Transactions on Fuzzy Systems, 15, 863, 10.1109/TFUZZ.2006.889952
Herrera-Viedma, 2002, A consensus model for multiperson decision making with different preference structures, IEEE Transactions on Systems, Man and Cybernetics – Part A: Systems and Humans, 32, 394, 10.1109/TSMCA.2002.802821
Herrera-Viedma, 2005, A consensus support system model for group decision-making problems with multigranular linguistic preference relations, IEEE Transactions on Fuzzy Systems, 13, 644, 10.1109/TFUZZ.2005.856561
Kacprzyk, 1992, Group decision making and consensus under fuzzy preferences and fuzzy majority, Fuzzy Sets and Systems, 49, 21, 10.1016/0165-0114(92)90107-F
Klement, 2000
Llamazares, 2006, The forgotten decision rules: majority rules based on difference of votes, Mathematical Social Sciences, 51, 311, 10.1016/j.mathsocsci.2005.12.001
Llamazares, 2013, Collective transitivity in majorities based on difference in support, Fuzzy Sets and Systems, 216, 3, 10.1016/j.fss.2012.04.015
Mas, 2007, A survey on fuzzy implication functions, IEEE Transactions on Fuzzy Systems, 15, 1107, 10.1109/TFUZZ.2007.896304
J. Mordelová, T. Rückschlossová, ABC-aggregation functions, in: Proc. of the 5th Intl. Summer School on Aggregation Operators, Palma de Mallorca, Spain, 2009.
Szmidt, 2001, Analysis of consensus under intuitionistic fuzzy preferences, 79
Tastle, 2006, Ranking ordinal scales using the consensus measure, Issues in Information Systems, 185, 96
Torra, 2007
Xia, 2011, On consensus in group decision making based on fuzzy preference relations, 263
Xu, 2011, A discrete consensus support model for multiple attribute group decision making, Knowledge-Based Systems, 24, 1196, 10.1016/j.knosys.2011.05.007
Xu, 2009, An automatic approach to reaching consensus in multiple attribute group decision making, Computers & Industrial Engineering, 56, 1369, 10.1016/j.cie.2008.08.013
Xu, 2011, Attribute weights determination models for consensus maximization in multiple attribute group decision-making, International Journal of General Systems, 40, 755, 10.1080/03081079.2011.594798
Xu, 2012, A consensus reaching process under incomplete multiplicative preference relations, International Journal of General Systems, 41, 333, 10.1080/03081079.2012.662501
Xu, 2011, Group consensus algorithms based on preference relations, Information Sciences, 181, 150, 10.1016/j.ins.2010.08.002
Yager, 2009, On generalized Bonferroni mean operators for multi-criteria aggregation, International Journal of Approximate Reasoning, 50, 1279, 10.1016/j.ijar.2009.06.004
R.R. Yager, G. Beliakov, S. James, On generalized Bonferroni means, in: Proc. Eurofuse 2009 Conference, Pamplona, Spain, 2009.