Szczepaniak, Piotr S.2021-10-252021-10-252021Szczepaniak Piotr S., Case-Based Reasoning for Pattern Recognition using Granular Information Generated by Active Hypercontours. W: TEWI 2021 (Technology, Education, Knowledge, Innovation), Wojciechowski A. (Ed.), Napieralski P. (Ed.), Lipiński P. (Ed.)., Seria: Monografie PŁ;Nr 2378, Wydawnictwo Politechniki Łódzkiej, Łódź 2021, s. 191-206, ISBN 978-83-66741-10-2, DOI 10.34658/9788366741102.13.978-83-66741-10-2http://hdl.handle.net/11652/4019https://doi.org/10.34658/9788366741102.13This paper presents a novel extension of the case-based reasoning (CBR) technique. In the proposed method, a case is defined using the concept of multidimensional information granule created by the active hypercontour. The granularity of information is expected to be justifiable. The paper explains the main principles of the method and discusses its usefulness with reference to the pattern recognition problem.enFair use conditionDla wszystkich w zakresie dozwolonego użytkupattern recognitioncase-based reasoningcase-based classificationactive hypercontoursinformation granuleshypercontour-based case specificationrozpoznawanie wzorcówwnioskowanie oparte na przypadkachklasyfikacja oparta na przypadkachaktywne hiperkonturygranulki informacyjneoparta na hiperkonturach specyfikacja przypadkuRozdział książkiLUT LicenseLicencja PŁ10.34658/9788366741102.13