The main point is that any estimation procedure should reconcile the semantics of a fuzzy set (regarded as an information granule of some level of abstraction) ...
Information granulation for concept formation. Authors: W. Pedrycz. W.
Any estimation procedure should reconcile the semantics of a fuzzy set with the experimental evidence conveyed by numeric data and develop the hybrid ...
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Witold Pedrycz, Athanasios V. Vasilakos , Adam Gacek : Information Granulation for Concept Formation. SAC (1) 2000: 484-489. manage site settings.
The theory of fuzzy information granulation (TFIG) is inspired by the ways in which humans granulate information and reason with it.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
Fuzzy information granulation (IG) is central to human reasoning and concept formation. It is this aspect of fuzzy IG that underlies its essential role in ...
Apr 8, 2023 · Granular Computing is a powerful information processing paradigm, particularly useful for the synthesis of pattern recognition systems in structured domains.
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From the philosophical perspective or the conceptual level, granular computing focuses on structured thinking based on multiple levels of granularity. The ...
In a general setting, granulation involves a partitioning of a real or mental object into granules, with a granule being a clump of points.