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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제11권 제2호
- 발행연도
- 2015.1
- 수록면
- 184 - 204 (21page)
이용수
초록· 키워드
오류제보하기
Fuzzy Formal Concept Analysis (FCA) is a mathematical tool for the effective representation of imprecise and vague knowledge. However, with a large number of formal concepts from a fuzzy context, the task of knowledge representation becomes complex. Hence, knowledge reduction is an important issue in FCA with a fuzzy setting. The purpose of this current study is to address this issue by proposing a method that computes the corresponding crisp order for the fuzzy relation in a given fuzzy formal context. The obtained formal context using the proposed method provides a fewer number of concepts when compared to original fuzzy context. The resultant lattice structure is a reduced form of its corresponding fuzzy concept lattice and preserves the specialized and generalized concepts, as well as stability. This study also shows a step-by-step demonstration of the proposed method and its application.
목차
등록된 정보가 없습니다.
참고문헌 (26)
참고문헌 신청
A. Burusco / 1994 / The study of the L-fuzzy concept lattice / Matheware and Soft Computing 1 (3) : 209 ~ 218
A. Gely / 2011 / Links between modular decomposition of concept lattices and bimodular decomposition of a context / Proceedings of the Concept Lattices and Their Applications : 39
B. Ganter / 1999 / Formal Concept Analysis: Mathematical Foundations / Springer
C. Aswani Kumar / 2010 / Concept lattice reduction using fuzzy K-means clustering / Expert Systems with Applications 37 (3) : 2696 ~ 2704
C. Aswani Kumar / 2011 / Knowledge discovery in data using formal concept analysis and random projections / International Journal of Applied Mathematics and Computer Science
A. Gely / 2011 / Links between modular decomposition of concept lattices and bimodular decomposition of a context / Proceedings of the Concept Lattices and Their Applications : 39
B. Ganter / 1999 / Formal Concept Analysis: Mathematical Foundations / Springer
C. Aswani Kumar / 2010 / Concept lattice reduction using fuzzy K-means clustering / Expert Systems with Applications 37 (3) : 2696 ~ 2704
C. Aswani Kumar / 2011 / Knowledge discovery in data using formal concept analysis and random projections / International Journal of Applied Mathematics and Computer Science
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