Abstract
Honeycomb-based structures appear in many scientific fields. Moreover, the number of such structures increases every day. Thus, new methods of analysis are needed. The aggregation functions are one of such methods. They are widely examined for numbers and considered for other objects, e.g., strings and graphs. This paper introduces a new way of representing the simplest structures based on a honeycomb grid with binary sequences. The invariance with respect to rotation and reflection is examined.
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Moś, G. (2022). Honeycomb-Based Polygonal Chains Aggregation Functions. In: Ciucci, D., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1601. Springer, Cham. https://doi.org/10.1007/978-3-031-08971-8_32
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DOI: https://doi.org/10.1007/978-3-031-08971-8_32
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