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Rough Set Analysis and Formal Concept Analysis

Rough Set Analysis and Formal Concept Analysis

Yiyu Yao
Copyright: © 2008 |Pages: 20
ISBN13: 9781599045528|ISBN10: 1599045524|ISBN13 Softcover: 9781616927448|EISBN13: 9781599045542
DOI: 10.4018/978-1-59904-552-8.ch004
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MLA

Yao, Yiyu. "Rough Set Analysis and Formal Concept Analysis." Rough Computing: Theories, Technologies and Applications, edited by Aboul Ella Hassanien, et al., IGI Global, 2008, pp. 108-127. https://doi.org/10.4018/978-1-59904-552-8.ch004

APA

Yao, Y. (2008). Rough Set Analysis and Formal Concept Analysis. In A. Hassanien, Z. Suraj, D. Slezak, & P. Lingras (Eds.), Rough Computing: Theories, Technologies and Applications (pp. 108-127). IGI Global. https://doi.org/10.4018/978-1-59904-552-8.ch004

Chicago

Yao, Yiyu. "Rough Set Analysis and Formal Concept Analysis." In Rough Computing: Theories, Technologies and Applications, edited by Aboul Ella Hassanien, et al., 108-127. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-552-8.ch004

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Abstract

Rough set analysis (RSA) and formal concept analysis (FCA) are two theories of intelligent data analysis. They can be compared, combined and applied to each other. In this chapter, we review the existing studies on the comparisons and combinations of rough set analysis and formal concept analysis and report some new results. A comparative study of two theories in a unified framework provides a better understanding of data analysis.

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