Abstract
The single input connected fuzzy inference model (SIC model) can decrease the number of fuzzy rules drastically in comparison with the conventional fuzzy inference models. However, the inference results obtained by the SIC model were generally simple comapred with the conventional fuzzy inference models. In this paper, we propose a SIC model with compatibility functions, which weights the rules of the SIC model. Moreover, this paper shows that the inference results of the proposed model can be easily obtained even as the proposed model uses involved compatibility functions.
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Seki, H. (2015). On the Property of SIC Fuzzy Inference Model with Compatibility Functions. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_26
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DOI: https://doi.org/10.1007/978-3-319-25135-6_26
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-25135-6
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