Abstract
In this paper, we present a new intelligent system dealing with affirmative or negative information. We propose a formalization of linguistic negation in the context of fuzzy set theory based upon a compatibility level and tolerance threshold. Their combination allows us to choose the reference frame from which the intended meanings of “x is not A” will be extracted. The plausible interpretations of denied properties are obtained as the result of the different scoping of a negation operator. Moreover, a choice strategy computes, if needed, an intended meaning of each linguistic negation.
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Pacholczyk, D. (1999). Towards an intelligent system dealing with nuanced information expressed in affirmative or negative forms. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095103
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DOI: https://doi.org/10.1007/BFb0095103
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