Abstract
In regard to how to find the ideal result of reasoning mechanism, the standard of the largest entropy can offer its proper interpretation. Inspired by this observation, the intuitionistic entropy-induced symmetric implicational (IESI) algorithm is put forward in this study, and then extend it to the corresponding cooperative reasoning version. To begin with, the new IESI standards are given, which are improved versions of the previous symmetric implicational standard. Thenceforth, the inherent characteristics of result of the IESI algorithm are analyzed. In addition, unified results of such algorithm are given, and the fuzzy system via the IESI algorithm is constructed and analyzed. Lastly, its cooperative reasoning version is proposed for multiple inputs and multiple rules, while the corresponding optimal solutions are also gained.
This research is supported by the National Natural Science Foundation of China (Nos. 61673156, 61877016, 61672202, U1613217, 61976078).
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Tang, Y., Huang, J., Ren, F., Pedrycz, W., Bao, G. (2021). Intuitionistic Entropy-Induced Cooperative Symmetric Implicational Inference. In: Sun, Y., Liu, D., Liao, H., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2020. Communications in Computer and Information Science, vol 1330. Springer, Singapore. https://doi.org/10.1007/978-981-16-2540-4_11
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DOI: https://doi.org/10.1007/978-981-16-2540-4_11
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