A decision-making approach to a syllogistic reasoning problem with consistency maintenance in a knowledge base

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The authors discuss a syllogistic reasoning problem with the knowledge Q/sub 1/(A to B), Q/sub 2/(B to C), where Q/sub i/, i=1,2, are imprecise quantifiers such as 'most' and 'usually' and A, B, and C are fuzzy sets such as 'big cars.' They propose an approach that integrates syllogistic reasoning and knowledge-base consistency level maintenance based on the framework of multiobjective decision-making. The syllogistic reasoning problem is formulated as a default estimation problem of missing information in the observed data using the prior knowledge. The empirical knowledge is a collection of observations and is used for the evaluation of the consistency levels of the prior knowledge. >

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