A granular computing framework for self-organizing maps
Neurocomputing
Granular computing applied to ontologies
International Journal of Approximate Reasoning
Top-down progressive computing
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
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structured problem solving and structured information process- ing. In order to see the flexibility and universal applicability of this trinity model, we must demonstrate its effectiveness in solving real world problems. In this paper, we apply the basic ideas, principles, and strategies of granular computing to the specific problem solving task known as structured writing. Results from languages, human knowledge organization, rhetoric, writing, computer programming, and mathematical proving are summarized and cast in a setting for structured writing. The results bring new insights into granular computing.