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- W2148156543 abstract "Perceptual reasoning (PR) is an approximate reasoning method that can be used as a computing with words (CWW) engine in perceptual computing. There can be different approaches to implement PR, e.g., PR using firing intervals is proposed in [8], [9], [16], and similarity-based PR is proposed in this paper. Both approaches satisfy the constraint on a CWW engine, i.e., the result of combining fired rules should lead to a footprint of uncertainty (FOU) that resembles the three kinds of FOUs in a CWW codebook. A comparative study shows that the output FOUs from similarity-based PR more closely resemble the three kinds of FOUs in a codebook, and the resulting linguistic descriptions are more intuitive; so, similarity-based PR is a better choice for a CWW engine." @default.
- W2148156543 created "2016-06-24" @default.
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- W2148156543 date "2009-08-01" @default.
- W2148156543 modified "2023-10-18" @default.
- W2148156543 title "Similarity-based perceptual reasoning for perceptual computing" @default.
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- W2148156543 doi "https://doi.org/10.1109/fuzzy.2009.5277374" @default.
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