The Perceptual Computer (Per-C) is an architecture for making subjective judgments by computing with words. An application of the Per-C to a social judgment is described in this paper. First, a vocabulary is established for the social judgment and its words are modeled by interval type-2 fuzzy sets (IT2 FSs). Surveys are then designed to establish a structure of the rulebase and to obtain a rule-consequent histograms. After pre-processing to remove bad responses and outliers, perceptual reasoning (PR) is used to simplify the rulebase. Once the rulebase is established, PR is also used to infer the output IT2 FSs for new inputs. Finally, the output IT2 FSs are mapped back into words in the codebook using a similarity measure. So, from a user's point of view, he or she is interacting with the Per-C using only words from a vocabulary. The techniques introduced in this paper should be applicable to many rule-based decision-making situations.
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