Abstract
This paper deals with intelligent counting, i.e. counting performed under imprecision, fuzziness of information about the objects of counting. Formally, this collapses to counting in fuzzy sets. We will show that the presented methods of intelligent counting are human-consistent, and reflect and formalize real, human counting procedures. Other applications of intelligent counting in intelligent systems and decision support, including questions of similarity measures and time series analysis, will also be outlined or mentioned.
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Wygralak, M. (2015). Intelligent Counting – Methods and Applications. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_1
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DOI: https://doi.org/10.1007/978-3-319-11313-5_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11312-8
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