Abstract
We introduce some ideal from the theory of approximate reasoning and from possibility theory based on fuzzy sets. We shown how these ideas can form the basis for building classification models which enable one to use imprecise information in their construction.
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Yager, R.R. Approximate reasoning and possibilistic models in classification. International Journal of Computer and Information Sciences 10, 141–175 (1981). https://doi.org/10.1007/BF00977746
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DOI: https://doi.org/10.1007/BF00977746