On the random generation of monotone data sets
Information Processing Letters
Monotone Mamdani--Assilian models under mean of maxima defuzzification
Fuzzy Sets and Systems
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Loss optimal monotone relabeling of noisy multi-criteria data sets
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Monotone and partially monotone neural networks
IEEE Transactions on Neural Networks
On the monotonicity of fuzzy-inference methods related to T-S inference method
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Performance of classification models from a user perspective
Decision Support Systems
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Often, in economic decision problems such as credit loan approval or risk analysis, data mining models are required to be monotone with respect to the decision variables involved. If the model is obtained by a blind search through the data, it does mostly not have this property, even if the underlying database is monotone. In this correspondence, we present methods to enforce monotonicity of decision models. We propose measures to express the degree of monotonicity of the data and an algorithm to make data sets monotone. In addition, it is shown that decision trees derived from cleaned data perform better compared to trees derived from raw data