Abstract
Research on human emotions has started to address psychological aspects of human nature and has advanced to the point of designing various models that represent them quantitatively and systematically. Based on the findings, a method is suggested for emotional space formation and emotional inference that enhance the quality and maximize the reality of emotion-based personalized services. In consideration of the subjective tendencies of individuals, AHP was adopted for the quantitative evaluation of human emotions, based on which an emotional space remodeling method is suggested in reference to the emotional model of Thayer and Plutchik, which takes into account personal emotions. In addition, Sugeno fuzzy inference, fuzzy measures, and Choquet integral were adopted for emotional inference in the remodeled personalized emotional space model. Its performance was evaluated through an experiment. Fourteen cases were analyzed with 4.0 and higher evaluation value of emotions inferred, for the evaluation of emotional similarity, through the case studies of 17 kinds of emotional inference methods. Matching results per inference method in ten cases accounting for 71% are confirmed. It is also found that the remaining two cases are inferred as adjoining emotion in the same section. In this manner, the similarity of inference results is verified.
Similar content being viewed by others
References
SAATY T L. The analytical hierarchy process [M]. New York: McGraw-Hill, 1980: 281.
SAATY T L. How to make a decision: The analytic hierarchy process [J]. European Journal of Operational Research, 1990, 48: 9–26.
ZADEH L A. Fuzzy sets [J]. Information and Control, 1965, 8(3): 338–353.
ZADEH L A. Fuzzy sets and systems [C]// Proc Symp on Systems Theory, Polytechnic Institute of Brooklyn. New York, 1965: 29–37.
QIN Y, ZHANG X, YING H. A Hmm-based fuzzy affective model for emotional speech synthesis [C]// 2nd International Conference on Signal Processing Systems (ICSPS). Dalian, 2010: 525–528.
KOVÁCS S. Fuzzy reasoning and fuzzy automata in user adaptive emotional and information retrieval systems [C]// Proceedings of the IEEE International Conference On Systems, Man and Cybernetics. Hammamet, 2002: 6.
SALMERON J L. Fuzzy cognitive maps for artificial emotions forecasting [J]. Applied Soft Computing, 2012, 12(2): 3704–3710.
EIICHIRO T. On identification methods of λ-fuzzy measures using weights and λ [J]. Japanese Journal of Fuzzy Sets and Systems, 2000, 12(5): 665–676.
SUGENO M, TERANO T. A model of learning based on fuzzy information [J]. Kybernetes, 1977, 6(3): 157–166.
KANG Ying-shi, WANG Hai-ning. Uncertain Choquet integral operator and its application to product design selection [J]. JCIT: Journal of Convergence Information Technology, 2011, 6(6): 1–6.
FENG Hui-min, LI Xue-fei, CHEN Ai-xia, WANG Bin. The relationship between diversity and the accuracy of classifier fusion based on Choquet integral [J]. JCIT: Journal of Convergence Information Technology, 2013, 8(1): 44–51.
THAYER R E. The biopsychology of mood and arousal [M]. Oxford, UK: Oxford University Press, 1989: 234.
PLUTCHIK R. Emotion: theory, research, and experience. Vol. 1: Theories of emotion [M]. New York: Academic, 1980: 423.
PLUTCHIK R. Emotions and life: Perspectives from psychology, biology, and evolution [M]. Washington, DC: American Psychological Association, 2002: 381.
PLUTCHIK R, HOPE C R. Circumplex models of personality and emotions [M]. Washington, DC: American Psychological Association, 1997: 484.
MALKAWI M, MURAD O. Artificial neuro fuzzy logic system for detecting human emotions [J]. Human-Centric Computing and Information Sciences 2013, 3(1): 2–13.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Project(2012R1A1A2042625) supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education
Rights and permissions
About this article
Cite this article
Kwon, Ik., Lee, Sy. Emotional inference by means of Choquet integral and λ-fuzzy measurement in consideration of ambiguity of human mentality. J. Cent. South Univ. 23, 160–168 (2016). https://doi.org/10.1007/s11771-016-3059-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11771-016-3059-3