Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
402427 | Knowledge-Based Systems | 2012 | 9 Pages |
Based on granular computing, the conceptual element was established as the conceptual category of knowledge, with formal concept analysis as a basic tool, and the indiscernibility relation was established for rough set theory. The conceptual element in temporal context was then extended to the phenomenon element yielding temporal granular representation. Through the introduction of partially ordered time-series, the diachronism of the knowledge system was studied. An isomorphic mapping was conducted between the sequence structure and concept lattice structure, consisting of a phenomenon element and other time-series materials, providing visualization of the movement of the phenomenon element over time. Dynamic modeling was applied to knowledge granules in the open problem domain of context and time, providing a theoretical basis for reference.