Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory

Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
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模糊上下文的概念格:形式概念分析与粗糙集理论

DOI:
10.1016/j.ijar.2008.12.002
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发表时间:
2009-05
影响因子:
3.9
通讯作者:
Zhang, Dexue
Zhang, Dexue
中科院分区:
计算机科学2区
文献类型:
--
作者:
Lai, Hongliang;Zhang, Dexue

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基于形式概念分析和粗糙集理论,对模糊上下文的概念格进行了比较研究。在形式概念分析的基础上,每个完备模糊格都可以表示为模糊上下文的概念格[R。[10] Bennilohlávek,Concept lattices and order in fuzzy logic,Ann. Pure Appl. Logic 128(2004)277-298].基于粗糙集理论证明了每个完备模糊格都可以表示为模糊上下文的概念格当且仅当剩余格(L,n,1)满足双重否定律.因此,基于粗糙集理论的概念格的表达能力弱于基于形式概念分析的概念格。
This paper presents a comparative study of concept lattices of fuzzy contexts based on formal concept analysis and rough set theory. It is known that every complete fuzzy lattice can be represented as the concept lattice of a fuzzy context based on formal concept analysis [R. Bělohlávek, Concept lattices and order in fuzzy logic, Ann. Pure Appl. Logic 128 (2004) 277–298]. This paper shows that every complete fuzzy lattice can be represented as the concept lattice of a fuzzy context based on rough set theory if and only if the residuated lattice (L,∗,1) satisfies the law of double negation. Thus, the expressive power of concept lattices based on rough set theory is weaker than that of concept lattices based on formal concept analysis.
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