Affective computing model based on rough fuzzy sets

Yong Chen, Yuehui Chen

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

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 [3] and lays the foundation of the affective computing in depth.

Original languageEnglish (US)
Pages835-838
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event5th IEEE International Conference on Cognitive Informatics, ICCI 2006 - Beijing, China
Duration: Jul 17 2006Jul 19 2006

Conference

Conference5th IEEE International Conference on Cognitive Informatics, ICCI 2006
Country/TerritoryChina
CityBeijing
Period7/17/067/19/06

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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