An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling
We discuss a way of building, refining, and generalizing information granules. Refinement of information granules is realized by assessing their information content. General optimization procedure of successive refinement of information granules is provided. Conditional Fuzzy C-Means is discussed as an efficient vehicle to realize information granulation. Discussed are granular decision trees as generic models with information granules.
information granules successive refinements information content granular computing fuzzy clustering