Imprecise belief updating for uncertain user modelling

In this paper we present a new approach to incremental user recognition in fuzzy environments where user classification is updated within an epistemological model. We extend Einhorn and Hogarth's anchor and adjustment method ([7]), itself derived from a study of human behaviour, fiom the point value representation of belief and evidence to the case where belief and evidence are imprecise. We represent imprecision by intervals of belief in the range [0, I].

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