Abstract

Modeling of combined classification problem-solving knowledge from a group of decision makers is associated with elicitation and aggregation difficulties. In this paper we propose an aggregation possibility, named multi-aggregation, for discovering classification problem-solving knowledge from multiple decision makers

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