C4.5: programs for machine learning
C4.5: programs for machine learning
k-order additive discrete fuzzy measures and their representation
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
A Simple Approach to Ordinal Classification
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A Decision Tree Algorithm for Ordinal Classification
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Optimization Methods & Software
Nearest Neighbour Classification with Monotonicity Constraints
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Construction of aggregation functions from data using linear programming
Fuzzy Sets and Systems
Adding monotonicity to learning algorithms may impair their accuracy
Expert Systems with Applications: An International Journal
Nonparametric Monotone Classification with MOCA
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
The -Index and the Number of Citations: Two Fuzzy Integrals
IEEE Transactions on Fuzzy Systems
Learning monotone nonlinear models using the choquet integral
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Using linear programming for weights identification of generalized bonferroni means in r
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Information Sciences: an International Journal
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This article considers a real-world application of the Choquet integral-based classifier to the problem of ranking of scientific journals. We attempted to predict rankings given by panels of experts, by using available citation indices. We compare the Choquet integral fit by the least absolute deviation criterion as a classifier against other ordinal classification methods, before interpreting the fuzzy measure weights and indices. Our findings show that the journal rankings data set is difficult to model accurately due to inconsistencies and lack of monotonicity, but that the Choquet integral still performs well as a classifier.