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Examining granular computing from a modeling perspective

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4 Author(s)
Ying Xie ; Department of Computer Science and Information Systems, Kennesaw State University, 1000 Chastain RD., GA 30144, USA ; Tom Johnsten ; Jayasimha Katukuri ; Vijay V. Raghavan

In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address the issues of interpretability and usage of discovered patterns.

Published in:

Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American

Date of Conference:

19-22 May 2008