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General framework for consistencies in decision contexts.
- Source :
-
Information Sciences . Aug2020, Vol. 530, p180-200. 21p. - Publication Year :
- 2020
-
Abstract
- We present a general framework which provides a unified approach to attribute reduction in decision contexts across various generalizations of Formal Concept Analysis. The framework is demonstrated on an attribute reduction method which has been studied multiple times separately for each of the generalizations. Specifically, we use the framework to elevate the discernibility matrix based method to a more general setting. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STIMULUS generalization
*CONCEPTS
*MATRICES (Mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 00200255
- Volume :
- 530
- Database :
- Academic Search Index
- Journal :
- Information Sciences
- Publication Type :
- Periodical
- Accession number :
- 143384839
- Full Text :
- https://doi.org/10.1016/j.ins.2020.02.045