Consensus-based clustering under hesitant qualitative assessments
Copyright policy )Consensus-based clustering under hesitant qualitative assessments
In this paper, we consider that agents judge the feasible alternatives through linguistic terms – when they are confident in their opinions – or linguistic expressions formed by several consecutive linguistic terms – when they hesitate. In this context, we propose an agglomerative hierarchical clustering process where the clusters of agents are generated by using a distance-based consensus measure.
Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA066U13)
Ministerio de Economía, Industria y Competitividad (ECO2012-32178)
Producción Científica
Classification and discrimination; cluster analysis (statistical aspects), consensus, linguistic assessments, Agent technology and artificial intelligence, Linguistic assessments, clustering
Classification and discrimination; cluster analysis (statistical aspects), consensus, linguistic assessments, Agent technology and artificial intelligence, Linguistic assessments, clustering
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