On the Classification of Fuzzy-Attributes in Multi-adjoint Concept Lattices-Reference-Cited by-同舟云学术

On the Classification of Fuzzy-Attributes in Multi-adjoint Concept Lattices

Published:2013 Issue: Volume: Page:266-277
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
Short-container-title:

Author:

Cornejo Maria Eugenia,Medina-Moreno Jesús,Ramírez Eloisa

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-38682-4_30

Reference22 articles.

1. Bělohlávek, R., Vychodil, V.: Reducing the size of fuzzy concept lattices by hedges. In: The 2005 IEEE International Conference on Fuzzy Systems, pp. 663–668 (2005)

2. Beydoun, G.: Formal concept analysis for an e-learning semantic web. Expert Systems with Applications 36(8), 10952–10961 (2009)

3. Cornejo, M., Medina, J., Ramírez, E.: A comparative study of adjoint triples. Fuzzy Sets and Systems 211, 1–14 (2012)

4. Formica, A.: Concept similarity in fuzzy formal concept analysis for semantic web. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems 18(2), 153–167 (2010)

5. Formica, A.: Semantic web search based on rough sets and fuzzy formal concept analysis. Knowledge-Based Systems 26, 40–47 (2012)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis;Fuzzy Sets and Systems;2020-07

2. Characterizing reducts in multi-adjoint concept lattices;Information Sciences;2018-01

3. Attribute and size reduction mechanisms in multi-adjoint concept lattices;Journal of Computational and Applied Mathematics;2017-07

4. A Glance to the Goldman’s Testors from the Point of View of Rough Set Theory;Lecture Notes in Computer Science;2016

5. Reduct-Irreducible $$\alpha $$ -cut Concept Lattices: An Efficient Reduction Procedure to Multi-adjoint Concept Lattices;Information Processing and Management of Uncertainty in Knowledge-Based Systems;2016