Rough and fuzzy sets approach for incident identification in railway infrastructure management system

Rough and fuzzy sets approach for incident identification in railway infrastructure management system

In the paper we propose a novel approach for incident identification in railway infrastructure management system based on fuzzy and rough sets methods. The main aim of the proposed approach is detection new types of incidents associated with various incorrect, unintended, erroneous, and other types...

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Bibliographic Details
Published in:2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM) pp. 228 - 230
Main Authors: Chernov, Andrey V., Bogachev, Viktor A., Karpenko, Ekaterina V., Butakova, Maria A., Davidov, Yuriy V.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2016
Subjects:
Fuzzy sets
identification
incident management
Lattices
Monitoring
Pragmatics
Process control
Rail transportation
railway industry
rough set
Rough sets
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Summary:In the paper we propose a novel approach for incident identification in railway infrastructure management system based on fuzzy and rough sets methods. The main aim of the proposed approach is detection new types of incidents associated with various incorrect, unintended, erroneous, and other types of action. The idea of detection of incidents is based on the combined use of fuzzy and rough sets, and research methods offered in the paper represent the original approach to the definition of fuzzy sets complement by universal algebraic analysis in the Browerian lattice.
DOI:10.1109/SCM.2016.7519736