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Title
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A Framework for Single-Condition Approximate Reasoning
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Author
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He Rongyu, Chang Chaowen
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Citation |
Vol. 6 No. 10 pp. 115-120
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Abstract
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Informally, approximate reasoning can be viewed as a process by which a possible imprecise conclusion is deduced from a collection of imprecise premises [9]. How to process the linguistic term used in approximate reasoning is the key problem for deducing an appropriately conclusion. In this paper, a generalized method for computing linguistic terms, says Linguistic Atom Model (LAM), is present; then a framework for singleton-conditional approximate reasoning which is the simplest model of approximate reasoning is proposed based on LAM; Finale, a simplified framework as an example is established. The conclusions of the approximate reasoning under this framework are more appropriately to human reasoning.
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Keywords
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approximate reasoning, linguistic atom, linguistic term, Linguistic Atom Model, Vector Compatibility
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URL
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http://paper.ijcsns.org/07_book/200610/200610A19.pdf
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