Mental models consensus process using fuzzy cognitive maps and computing with words

Karina Pérez Teruel, Maikel Yelandi Leyva Váquez, Vivian Estrada Sentí

Abstract


Fuzzy Cognitive Maps (FCM) has proven to be useful for representing both individual and collective mental models. Their capacity to be aggregated from individual FCM makes them suitable as a technique to assist in group decision making. For problems such as the analysis of complex systems and decision making usually is necessary a consensus process, to enable the group to achieve a state of mutual agreement among its members. In this paper a model for consensus processes in mental models using FCM and linguistic 2-tuple model as a form of causal knowledge representation is presented. The model includes automatic search mechanisms for conflict areas and recommendations to the experts to bring closer their preferences. An illustrative example that corroborates the applicability of the model is described.

Keywords


consensus, mental models, fuzzy cognitive maps; computing with words, Brooks’ law

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DOI: http://dx.doi.org/10.11144/Javeriana.iyu19-1.mmcp

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