Application of Fuzzy Theory to Inference of Human Laughing Degree

抄録

This paper constructs a model which infers and expresses the laughing degree resulting from a story. Fuzzy theory is applied to the model construction. This model is based on Kimura theory. The evaluation of a situation, the mental strain level, the funniness of a story, and the emotions after hearing a story are considered as the model inputs. The laughing degree and the degree of a laugh by superiority are inferred by the use of the fuzzy reasoning technique, and expressed by facial expressions and linguistic terms. Some questionnaires are performed in order to evaluate this model.