Affective Computing Model Based on Rough Fuzzy Sets

In human affective research, the fuzziness and roughness of the affective computing is the chief difficult. This paper builds a novel affective model based on rough fuzzy sets for the first time and presents a serial of static description results, which effectively solve the fuzzy and rough problems in affective computing. The model can realize the precision control of affective computing conveniently. Finally, the simulation shows that the results of the model for the affective static description are reasonable. This paper extends the results in (Yong Chen and Tong He, 2005) and lays the foundation of the affective computing in depth