2026-06-04T05:45:07Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/102642026-02-03T11:51:32Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Rodríguez-Jiménez, J.M.
author
Cordero-Ortega, Pablo
author
Enciso-García-Oliveros, Manuel
author
Mora-Bonilla, Ángel
2015-09-16T10:01:48Z
2015-09-16T10:01:48Z
2015-09-16
http://hdl.handle.net/10630/10264
http://orcid.org/0000-0003-4548-8030
FuzAtAnalyzer was conceived as a Java framework which goes beyond of classical tools in formal concept analysis. Specifically, it successfully incorporated the management of uncertainty by means of methods and tools from the area of fuzzy formal concept analysis. One limitation of formal concept analysis is that they only consider the presence of properties in the objects (positive attributes) as much in fuzzy as in crisp case.
In this paper, a first step in the incorporation of negations is presented. Our aim is the treatment of the absence of properties (negative attributes). Specifically, we extend the framework by including specific tools for mining knowledge combining crisp positive and negative attributes.
eng
by-nc-nd
Algoritmos
Extending FuzAtAnalyzer to approach the management of classical negation
conference output
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150426_cmmse riuma.pdf
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150426_cmmse riuma.pdf.txt