Color Preference and Personality Modeling Using Fuzzy Reasoning Rule

  • Am-Suk Oh
  • Tae-Jung Lho
  • Jang-Woo Kwon
  • Kwang-Baek Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors has been a challenge to the research community. In this paper we propose a novel approach, which involves the use of fuzzy logic and reasoning to analyze the RGB color intensities extracted from sensory inputs to understand human sensitivity for various colors. Based on this approach, an intelligent system has been built to predict the subject’s personality. The results of experiments conducted with this system are discussed in the paper.


Membership Function Fuzzy Logic Color Preference Personality Modeling Color Palate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Lee, K.S., Chung, H.M.: The Emotions Inference Using Differential of Symbolic Multiple Valued Logic Functions. Proceedings of KFIS Fall Conference 12(2), 493–496 (2002)Google Scholar
  2. 2.
    Weiner, B.: The Emotional Consequences of Casual Ascriptions. In: The 17th Annual Carnegie Symposium on Cognition, pp. 185–209 (1994)Google Scholar
  3. 3.
    Fabo, B.: The Psychology of Color. Dong-A Publications (1985)Google Scholar
  4. 4.
    Deborah, T.S.: The Psychology of Color and Design. Tein Publications (1996)Google Scholar
  5. 5.
    Color Psychology,
  6. 6.
    Pluchik, R.: Emotion. A Psycho Evolutionary Synthesis (1980)Google Scholar
  7. 7.
    Lee, H.J., Kim, B.S., Kang, D.H., Kim, K.B.: Recognition of Emotion Based on Simple Color using Physiological Fuzzy Neural Networks. Proceedings of Korea Multimedia Society 6(1), 537–540 (2002)MathSciNetGoogle Scholar
  8. 8.
    Yasuhiro, K., Naotoshi, S.: An analysis of emotions by using fuzzy reasoning. In: 13th Fuzzy Symposium, pp. 4–6 (1997)Google Scholar
  9. 9.
    Kim, B.K., Kim, B.Y., Cho, J.H.: Self-Directed Learning using Fuzzy Grade Sheets. International Journal of KIMICS 2(2), 97–101 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Am-Suk Oh
    • 1
  • Tae-Jung Lho
    • 2
  • Jang-Woo Kwon
    • 3
  • Kwang-Baek Kim
    • 4
  1. 1.Dept. of Multimedia EngineeringTongmyoung Univ. of Information TechnologyKorea
  2. 2.Dept. of Mechatronics EngineeringTongmyoung Univ. of Information TechnologyKorea
  3. 3.Dept. of Computer EngineeringTongmyoung Univ. of Information TechnologyKorea
  4. 4.Dept. of Computer EngineeringSilla UniversityKorea

Personalised recommendations