Rule reduction for efficient inferencing in similarity based reasoning

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چکیده

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Rule reduction for efficient inferencing in similarity based reasoning

The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh’s Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). It is known that inferencing in the above models is resource consuming (both memory and time), since these schemes often consist of discretisation of the input and output spaces followed by computations in each point. Also ...

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ژورنال

عنوان ژورنال: International Journal of Approximate Reasoning

سال: 2008

ISSN: 0888-613X

DOI: 10.1016/j.ijar.2007.07.009