Learning from Sparse Data by Exploiting Monotonicity Constraints, Proc. 21st ,
, Conf. on Uncertainty in Artificial Intelligence, UAI'05, pp.18-26, 2005.
Semiparametric estimation of a hedonic price function, J. Applied Econometrics, vol.11, issue.6, pp.633-648, 1996. ,
Dutch Research School for Information and Knowledge Systems, 2014. ,
Nonparametric Monotone Classification with MOCA, Proc. 8th IEEE Int. Conf. on Data Mining, pp.731-736, 2008. ,
Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms, Machine Learning, vol.19, pp.29-43, 1995. ,
Learning and classification of monotonic ordinal concepts, Computational Intelligence, vol.5, issue.1, pp.45-49, 1989. ,
VC-DomLEM: Rule induction algorithm for variable consistency rough set approaches, 2009. ,
Information Processing and Management of Uncertainty in Knowledge-Based Systems, Theory and Foundations (Proc. 17th IPMU Conf.), Part I, vol.853, pp.253-265, 2018. ,
Classification and Regression Trees, 2017. ,
Monotonicity in Ant Colony Classification Algorithms, Swarm Intelligence, pp.137-148, 2016. ,
Sequential covering rule induction algorithm for variable consistency rough set approaches, formation Sciences, vol.181, pp.987-1002, 2011. ,
Monotonic classification: an overview on algorithms, performance measures and data sets, 2018. ,
Monotonic classification: An overview on algorithms, performance measures and data sets, Neurocomputing, vol.341, pp.168-182, 2019. ,
Isotonic Separation, INFORMS Journal on Computing, vol.17, issue.4, pp.462-474, 2005. ,
Characterizations of idempotent discrete uninorms. Fuzzy Sets and Systems, vol.334, pp.60-72, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01447513
Enhancing the Expressive Power of Sugeno Integrals for Qualitative Data Analysis, Advances in Fuzzy Logic and Technology (Proc. EUSFLAT 2017), Advances in Intelligent Systems and Computing, pp.534-547, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01668229
Decision-Making with Sugeno integrals -bridging the gap between multicriteria evaluation and decision under uncertainty, Order, vol.33, pp.517-535, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01184340
Computing version spaces in the qualitative approach to multicriteria decision aid, Int. J. Found. Comput. Sci, vol.30, issue.2, pp.333-353, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-01404590
Sugeno Utility Functions I: Axiomatizations, Modeling Decisions for Artificial Intelligence, pp.79-90, 2010. ,
Sugeno Utility Functions II: Factorizations, Modeling Decisions for Artificial Intelligence, pp.91-103, 2010. ,
Pseudo-polynomial functions over finite distributive lattices. Fuzzy Sets and Systems, vol.239, pp.21-34, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01090562
Application of MLP Networks to Bond Rating and House Pricing, Neural Computing & Applications, vol.8, issue.3, pp.226-234, 1999. ,
Derivation of monotone decision models from non-monotone data, 2003. ,
Derivation of monotone decision models from noisy data, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.36, issue.5, pp.705-710, 2006. ,
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints, vol.94, pp.163-178, 2009. ,
Extracting Decision Rules from Qualitative Data Using Sugeno Integral: A Case-Study, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, vol.9161, pp.14-24, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01179575
Making Discrete Sugeno Integrals More Discriminant, International Journal of Approximate Reasoning, vol.50, issue.6, pp.880-898, 2009. ,
The use of the discrete sugeno integral in decision-making: a survery, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.9, issue.5, pp.539-561, 2001. ,
Nearest Neighbour Classification with Monotonicity Constraints, Machine Learning and Knowledge Discovery in Databases, vol.5211, pp.301-316, 2008. ,
Monotone relabeling in ordinal classification, Proc. IEEE Int. Conf. on Data Mining, pp.803-808, 2010. ,
Exploiting monotonicity constraints to reduce label noise: An experimental evaluation, Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp.2148-2155, 2016. ,
Learning Bayesian network parameters under order constraints, Int. J. Approximate Reasoning, vol.42, issue.1, pp.37-53, 2006. ,
Smooth associative operations on finite ordinal scales, IEEE Trans. Fuzzy Systems, vol.8, issue.6, pp.791-795, 2000. ,
The application of fuzzy integrals in multicriteria decision making, Eur. J. of Operational Research, vol.89, issue.3, pp.445-456, 1996. ,
A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid, Annals of Operations Research, vol.175, issue.1, pp.247-286, 2010. ,
URL : https://hal.archives-ouvertes.fr/halshs-00267932
Aggregation Functions, of Encyclopedia of Mathematics and Its Applications, vol.127, 2009. ,
URL : https://hal.archives-ouvertes.fr/halshs-00445120
Rough sets theory for multicriteria decision analysis, European Journal of Operational Research, vol.129, issue.1, pp.1-47, 2001. ,
Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules, Eur. J. of Operational Research, vol.158, issue.2, pp.271-292, 2004. ,
The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics, 2009. ,
Bringing order into Bayesian-network construction, Proc. 3rd Int. Conf. on Knowledge Capture (K-CAP '05), pp.121-128, 2005. ,
Rank entropybased decision trees for monotonic classification, IEEE Trans. on Knowledge and Data Engineering, vol.24, issue.11, pp.2052-2064, 2012. ,
Statistical Approach to Ordinal Classification with Monotonicity Constraints, 2008. ,
On Nonparametric Ordinal Classification with Monotonicity Constraints, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.11, pp.2576-2589, 2013. ,
Ordinal Regression by Extended Binary Classification, Advances in Neural Information Processing Systems, vol.19, pp.865-872, 2007. ,
A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting, Annals of Operations Research, vol.163, issue.1, pp.115-142, 2008. ,
Regression Models for Ordinal Data, J. of the Royal Statistical Society. Series B (Methodological), vol.42, issue.2, pp.109-142, 1980. ,
Repairing non-monotone ordinal data sets by changing class labels, 2014. ,
Decision trees for ordinal classification, vol.4, pp.97-111, 2000. ,
Loss optimal monotone relabeling of noisy multi-criteria data sets, Information Sciences, vol.179, issue.24, pp.4089-4096, 2009. ,
Monotonic networks, Advances in Neural Information Processing Systems (Proc. 1997 NIPS Conference), pp.661-667, 1998. ,
Axiomatization of utility, outranking, and decision rule preference models for multiple criteria classification problems under partial inconsistency with the dominance principle, Control and Cybernetics, vol.31, issue.4, pp.1000-1035, 2002. ,
, Theory of fuzzy integrals and its applications. Tokyo Institute of Technology, 1974.
Ordinal Choquistic regression, Proc. 8th Conf. European Society for Fuzzy Logic and Technology (EUSFLAT-13), pp.802-809, 2013. ,
Isotonic Classification Trees, Advances in Intelligent Data Analysis VIII, vol.5772, pp.405-416, 2009. ,
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints, Applied Soft Computing, vol.60, pp.858-873, 2017. ,
Particle swarm optimization for determining fuzzy measures from data, Information Sciences, vol.181, issue.19, pp.4230-4252, 2011. ,
Determining nonnegative monotone set functions based on Sugeno's integral: an application of genetic algorithms. Fuzzy Sets and Systems, vol.112, pp.155-164, 2000. ,
Monotonic classification extreme learning machine, Neurocomputing, vol.225, pp.205-213, 2017. ,