Abstract
Rough mereology is a paradigm allowing for a synthesis of main ideas of two potent paradigms for reasoning under uncertainty: fuzzy set theory and rough set theory. In this work, we demonstrate applications of rough mereology to the important theoretical ideas put forth by Lotfi Zadeh [9], [10]: Granularity of Knowledge and Computing with Words.
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Polkowski, L., Skowron, A. (1999). Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_5
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DOI: https://doi.org/10.1007/978-3-540-48061-7_5
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