Abstract
In this paper, we focus our attention on Representation of Linguistic Negation of Nuanced Properties in Knowledge-Based Systems. Our Approach is based upon a Similarity Relation between Nuanced Properties through their corresponding Fuzzy Sets. By using an interactive Choice Strategy, the User can explain the intended meaning of Linguistic Negations. This Model improves the abilities in Knowledge Management in that a premise or conclusion of a Classical Rule can include Linguistic Negations.
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© 1997 Springer-Verlag Berlin Heidelberg
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Pacholczyk, D. (1997). Towards a qualitative Representation of Linguistic Negation of Nuanced Properties. In: Lenzerini, M. (eds) AI*IA 97: Advances in Artificial Intelligence. AI*IA 1997. Lecture Notes in Computer Science, vol 1321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63576-9_125
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DOI: https://doi.org/10.1007/3-540-63576-9_125
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