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Monotonic classification plays an important role in the field of decision analysis, where decision values are ordered and the samples with better feature values should not be classified into a worse class. The monotonic classification tasks seem conceptually simple, but difficult to utilize and explain the order structure in practice. In this work, we discuss the issue of feature selection under the monotonicity constraint based on the principle of large margin. By introducing the monotonicitydoi:10.1016/j.knosys.2012.01.011 fatcat:ojfnqnvfzzbhphwbdlbf4f3lz4