Abstract
A serious obstacle for the use of fuzzy concept analysis in practical issues is the problem of matching between sets of objects and properties in fuzzy environment. To overcome this problem several modified versions of fuzzy concept analysis were developed. In this paper we combine Bĕlohlávek’s crisply generated fuzzy concept approach and gradation of fuzzy preconcepts initiated in our previous papers and lay the basics of the theory of graded crisply generated oriented fuzzy preconcepts. We illustrate our ideas by two practical examples related to zoology and astronomy.
The first named author acknowledges partial financial support by the COST association CA17124 (Digital forensics evidence analysis via intelligent systems).
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Šostak, A., Krastiņš, M., Uļjane, I. (2023). Conceptuality Degree of Oriented Crisply Generated Fuzzy Preconcepts. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_8
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