Abstract
In this paper, we provide a combination of inference method for Rule Based Fuzzy Classification. Rule based Fuzzy classification provides an effective way to present the approximate and inexact nature of the real world, especially when the systems are not suitable for analysis by conventional quantitative technique or when the available information on the systems is uncertain or inaccurate. For improve the performance of Rule Based Fuzzy Classification System, novel inference method based on ordered weighted averaging family was introduced.
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Na, L., Xiaojuan, H. (2012). A Combination of Inference Method for Rule Based Fuzzy Classification. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_51
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DOI: https://doi.org/10.1007/978-3-642-03718-4_51
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