Abstract
In the representation and processing of knowledge, the need for knowledge approximation and similarity is frequent. Concepts needed to deal with these issues are emerging; however, the unified treatment is still missing. With this in mind, we discern two sorts of knowledge, continuous represented, which we usually meet in the sensory based knowledge systems, and the other of discrete information structures, involved in automatic reasoning and processing of symbolic sequences in various contexts. The issues related to knowledge similarity and approximation are discussed in some special cases (separately following our initial knowledge division), which are spanning more general field and is used for exposition of our ideas and solution proposals. We have presented the concepts of knowledge similarity and approximation, together with appropriate scaling - degrees of similarity/approximation, in metric spaces for continuous case and the solution for discrete information spaces- DIS spaces for the later case.
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Jovanović, A., Perović, A., Djordjević, Z. (2013). Some Aspects of Knowledge Approximation and Similarity. In: Pap, E. (eds) Intelligent Systems: Models and Applications. Topics in Intelligent Engineering and Informatics, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33959-2_14
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DOI: https://doi.org/10.1007/978-3-642-33959-2_14
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