Ciencias de la Computación
Departamento
Deakin University
Geelong, AustraliaPublicaciones en colaboración con investigadores/as de Deakin University (34)
2020
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On the extended set of weights of the OWA functions
International Journal of General Systems, Vol. 49, Núm. 4, pp. 355-373
2018
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Robustifying OWA operators for aggregating data with outliers
IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 4, pp. 1823-1832
2017
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Implicit averaging functions
Information Sciences, Vol. 417, pp. 96-112
2016
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Robust OWA-based aggregation for data with outliers
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
2015
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Aggregation functions for recommender systems
Recommender Systems Handbook, Second Edition (Springer US), pp. 777-808
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On the weak monotonicity of Gini means and other mixture functions
Information Sciences, Vol. 300, Núm. 1, pp. 70-84
2014
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Consensus in multi-expert decision making problems using penalty functions defined over a Cartesian product of lattices
Information Fusion, Vol. 17, Núm. 1, pp. 56-64
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Consensus measures constructed from aggregation functions and fuzzy implications
Knowledge-Based Systems, Vol. 55, pp. 1-8
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Three types of monotonicity of averaging functions
Knowledge-Based Systems, Vol. 72, pp. 114-122
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Weakly Monotone Averaging Functions
Communications in Computer and Information Science
2013
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Aggregating fuzzy implications to measure group consensus
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
2012
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A class of fuzzy multisets with a fixed number of memberships
Information Sciences, Vol. 189, pp. 1-17
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Aggregation for Atanassov's intuitionistic and interval valued fuzzy sets: The median operator
IEEE Transactions on Fuzzy Systems, Vol. 20, Núm. 3, pp. 487-498
2011
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A characterization theorem for t-representable n-dimensional triangular norms
Advances in Intelligent and Soft Computing, Vol. 107, pp. 103-112
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On Penalty-Based Aggregation Functions and Consensus
Consensual Processes (Springer Alemania), pp. 23-40
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On penalty-based aggregation functions and consensus
Studies in Fuzziness and Soft Computing, Vol. 267, pp. 23-40
2010
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Aggregation functions based on penalties
Fuzzy Sets and Systems, Vol. 161, Núm. 10, pp. 1420-1436
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On Lipschitz properties of generated aggregation functions
Fuzzy Sets and Systems, Vol. 161, Núm. 10, pp. 1437-1447
2009
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Construction of k-Lipschitz triangular norms and conorms from empirical data
IEEE Transactions on Fuzzy Systems, Vol. 17, Núm. 5, pp. 1217-1220
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Some results on Lipschitz quasi-arithmetic means
2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings