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A Framework for Single-Condition Approximate Reasoning


He Rongyu, Chang Chaowen


Vol. 6  No. 10  pp. 115-120


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.


approximate reasoning, linguistic atom, linguistic term, Linguistic Atom Model, Vector Compatibility