Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure
Autor: | Radovan Soušek, Vladimir Simic, Stefan Jovčić |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
nejistota
Computer science MARCOS General Mathematics Fuzzy set Context (language use) ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Fuzzy logic multikriteriální rozhodování 0502 economics and business 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Entropy (information theory) multi-criteria decision-making uncertainty Engineering (miscellaneous) Reliability (statistics) železniční infrastruktura risk Flexibility (engineering) 050210 logistics & transportation picture fuzzy set lcsh:Mathematics 05 social sciences obrazová fuzzy sada lcsh:QA1-939 Risk analysis (engineering) Ranking riziko railway infrastructure 020201 artificial intelligence & image processing Risk assessment |
Zdroj: | Mathematics Volume 8 Issue 12 Mathematics, Vol 8, Iss 2259, p 2259 (2020) |
ISSN: | 2227-7390 |
DOI: | 10.3390/math8122259 |
Popis: | To increase the level of safety and prevent significant accidents, it is essential to prioritize risk factors and assess railway infrastructure. The key question is how to identify unsafe railway infrastructure so authorities can undertake safety improvement projects on time. The paper aims to introduce a picture fuzzy group multi-criteria decision-making approach for risk assessment of railway infrastructure. Firstly, picture fuzzy sets are employed for representing and handling risk-related information. Secondly, a picture fuzzy hybrid method based on the direct rating, and Tsallis&ndash Havrda&ndash Charvá t entropy is provided to prioritize risk factors. Thirdly, a picture fuzzy measurement of alternatives and ranking according to compromise solution method is developed to rank railway infrastructures. Lastly, the formulated approach is implemented in the Czech Republic context. Two sensitivity analyses verified the high robustness of the formulated approach. The comparative analysis with five state-of-the-art picture fuzzy approaches approved its high reliability. Compared to the state-of-the-art picture fuzzy approaches, the provided three-parametric approach has superior flexibility. |
Databáze: | OpenAIRE |
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