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- W2113285439 abstract "Perceptual Reasoning (PR) is an Approximate Reasoning mechanism that can be used as a Computing with Words (CWW) Engine, i.e., given input words, PR can infer the output from a rulebase. When the input words and the words in the rulebase are modeled by interval type-2 fuzzy sets (IT2 FSs), the output of PR, Ỹ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PR</inf> , is also an IT2 FS, and it will be mapped to a word in a codebook. For accurate mapping, we need to ensure that Ỹ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PR</inf> resembles the IT2 FSs in the codebook. The concept of PR using IT2 FSs was originally proposed in [10]. In this paper, the procedures to compute PR are introduced, and the properties of PR are studied in more detail. More specifically, we show under what conditions Ỹ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PR</inf> can be a shoulder or interior footprint of uncertainty." @default.
- W2113285439 created "2016-06-24" @default.
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- W2113285439 date "2008-06-01" @default.
- W2113285439 modified "2023-10-18" @default.
- W2113285439 title "Perceptual reasoning using interval type-2 fuzzy sets: Properties" @default.
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- W2113285439 doi "https://doi.org/10.1109/fuzzy.2008.4630526" @default.
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