Abstract
Evaluation model based on attribute coordinate has made some achievements in both theoretical research and practical applications. However, if the new evaluation samples are added, the evaluation model needs to be reconstructed rather than the dynamic updating. Almost no progress has been made on how to dynamically update the evaluation model. Thus, this paper puts forward a dynamic updating algorithm based on barycentric coordinates and satisfaction function to effectively solve this problem. The experiment results show the reasonability and effectiveness of this algorithm.
The work was supported by the Key Disciplines of Computer Science and Technology of Shanghai Polytechnic University (No. XXKZD1604).
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Xu, X., Xu, G., Feng, J. (2017). Study on Updating Algorithm of Attribute Coordinate Evaluation Model. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_57
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DOI: https://doi.org/10.1007/978-3-319-63315-2_57
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