Abstract
We discuss the origin of the notion of similarity, basic concepts connected with it and some methods of representing this conception in mathematical setting. We present a framework of recognition that is based on multi-aspects similarity. The framework is implemented in form of a network of comparators, that processes similarity expressed in terms of fuzzy sets. Our approach introduces a new standard to the field of similarity computing and processing.
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Sosnowski, Ł., & Skirzyński, J. (2018). Object [re]cognition with similarity. In Communications in Computer and Information Science (Vol. 854, pp. 443–454). Springer Verlag. https://doi.org/10.1007/978-3-319-91476-3_37
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