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http://dx.doi.org/10.13160/ricns.2020.13.3.97

Emotion Modeling for Emotion-based Personalization Service  

Kim, Tae Yeun (National Program of Excellence in Software center, Chosun University)
Bae, Sang Hyun (Department of Computer Science & Statistics, Chosun University)
Publication Information
Journal of Integrative Natural Science / v.13, no.3, 2020 , pp. 97-104 More about this Journal
Abstract
This study suggests the emotion space modeling and emotion inference methods suitable for personalized services based on psychological and emotional models. For personalized emotion space modeling taking into account the subjective disposition based on the empirical assessment of the personal emotions felt by the personalization process of emotion space was used as a decision support tool, the Analytic Hierarchy Process. This confirmed that the special learning to perform personalized emotion space modeling without considering the subjective tendencies. In particular to check the possible reasoning based on fuzzy emotion space modeling and sensitivity for the quantification and vague human emotion to it based on the inherent human sensitivity.
Keywords
Analytic Hierarchy Process; Choquet Fuzzy Integral; Emotion Space; ${\lambda}$-Fuzzy; Sugeno Fuzzy Integral;
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