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A representation of continuous domains via relationally approximable concepts in a generalized framework of formal concept analysis

  • Published:2019-11 Issue: Volume:114 Page:29-43
  • ISSN:0888-613X
  • Container-title:International Journal of Approximate Reasoning
  • language:en
  • Short-container-title:International Journal of Approximate Reasoning

Author:

Guo LankunORCID,Li Qingguo,Zhang Guo-QiangORCID

Funder

Outstanding Youth Foundation of Hunan Scientific Committee

Young Talents Program in Hunan Province

Outstanding Youth Foundation of Hunan Education Committee

Construct Program of the Key Discipline in Hunan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference34 articles.

1. On stability of fuzzy formal concepts over randomized one-sided formal context;Antoni;Fuzzy Sets Syst.,2018

2. Category Theory for Computing Science;Barr,1990

3. Concept lattices and order in fuzzy logic;Bělohlávek;Ann. Pure Appl. Log.,2004

4. Formal concept analysis with background knowledge: attribute priorities;Bělohlávek;IEEE Trans. Syst. Man Cybern., Part C, Appl. Rev.,2009

5. Ordinally equivalent data: a measurement-theoretic look at formal concept analysis of fuzzy attributes;Bělohlávek;Int. J. Approx. Reason.,2013

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1. A direct approach to representing algebraic domains by formal contexts;International Journal of Approximate Reasoning;2024-01

2. Continuous lattices in formal concept analysis;Soft Computing;2023-12-13

3. A representation of L-domain by formal concept analysis;Soft Computing;2022-07-14

4. Lattice-theoretic three-way formal contexts and their concepts;Soft Computing;2022-07-05

5. A Representation of FS-Domains by Formal Concept Analysis;Bulletin of the Malaysian Mathematical Sciences Society;2021-10-08
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