Abstract
Kansei or affective-computing related information is easy to express in terms of fuzzy sets. Three examples of Kansei information, e.g., emotion, atmosphere, and Kansei texture, are formalized by using fuzzy set concept on [-1,1]3 space. They are also visualized by using shape-brightness-size, shape-color-size, and contour-shape-gradation models, respectively. Their applications to agent to agent communication, multiagent communication, and online shopping are also introduced.
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Dong, F., Hirota, K. (2015). Formalization and Visualization of Kansei Information Based on Fuzzy Set Approach. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_10
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DOI: https://doi.org/10.1007/978-3-319-19683-1_10
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