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

摘要

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.