Journal
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Volume 55, Issue 1, Pages 412-426Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijar.2013.09.007
Keywords
Rough sets; Concept lattices; Fuzzy sets; Attribute selection; Data analysis; Decision reducts
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Funding
- Spanish Ministry of Science and Technology [TIN2011-28488]
- Junta de Andalucia [P09-FQM-5233]
- EU (FEDER)
- Spanish Science and Education Ministry (MEC) [TIN2009-14562-C05-03, TIN2012-39353-C04-04]
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This paper introduces a flexible extension of rough set theory: multi-adjoint fuzzy rough sets, in which a family of adjoint pairs are considered to compute the lower and upper approximations. This new setting increases the number of applications in which rough set theory can be used. An important feature of the presented framework is that the user may represent explicit preferences among the objects in a decision system, by associating a particular adjoint triple with any pair of objects. Moreover, we verify mathematical properties of the model, study its relationships to multi-adjoint property-oriented concept lattices and discuss attribute selection in this framework. (C) 2013 Elsevier Inc. All rights reserved.
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