Abstract: In large-scale group decision-making (LSGDM), incomplete preferences often arise due to the complexity of LSGDM or the limited experience of decision-makers (DMs). When DMs provide ...
Abstract: Ordinal input variables are common in many supervised and unsupervised machine learning problems. We focus on ordinal classification problems, where the target variable is also categorical ...
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