Affective Aspects as Uncertain Variables in Decisional Processes

The importance of the emotional aspect of everyday decisions is demonstrated by the copious psychological literature about the topic. Emotions are present in every action that we undertake, sure enough, when we choose a song to listen we can observe that our decision is influenced by the affective state felt at that moment. A consequence of this irrational process is the diversity of choices that we can perform in events that look like equal using observable aspect. The process that affects the user under a decision is naturally uncertain because there are aspects that involve internal user states like motivational aspects, personal preferences, social expectations, and affective states that are usually automatic and not possible to predict in a logical and rigid approach. In this work, we will present a soft reasoning approach that uses fuzzy rules to predict the emotional coherence of an item for the user during a decisional event.