A three-layer weighted fuzzy support vector regression (TLWFSVR) model is proposed for understanding human intention, and it is based on the emotion-identification information in human-robot interaction. TLWFSVR model consists of three layers, including adjusted weighted kernel fuzzy c-means (AWKFCM) for data clustering, fuzzy support vector regressions (FSVR) for information understanding, and weighted fusion for intention understanding.
CITATION STYLE
Chen, L., Wu, M., Pedrycz, W., & Hirota, K. (2021). Three-Layer Weighted Fuzzy Support Vector Regressions for Emotional Intention Understanding. In Studies in Computational Intelligence (Vol. 926, pp. 133–159). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61577-2_9
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