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A model for a cardiac disease diagnosis based on computing with word and competitive fuzzy cognitive maps

Abstract:

Fuzzy cognitive maps have received increasing attention for the representation of the causal knowledge, due to its especial usefulness in medical diagnosis. This paper proposes a model for the diagnosis support of cardiovascular diseases based on competitive fuzzy cognitive maps, using the paradigm of Computing with Words, in order to provide causal models easy to understand. To this end, the use of the linguistic representation model based on linguistic 2-tuple in the competitive fuzzy cognitive maps is proposed, which allowing to perform the Computing with Words Processes without losing information. As a result of this paper, a new model of fuzzy cognitive maps is obtained, which is called Linguistic Competitive Fuzzy Cognitive Map (LCFCM). The main advantage of the proposed model for medical diagnosis, based on fuzzy cognitive maps, is that it allows increasing the interpretability of the causal models …