Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F20%3A39916671" target="_blank" >RIV/00216275:25510/20:39916671 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2227-7390/8/12/2259" target="_blank" >https://www.mdpi.com/2227-7390/8/12/2259</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math8122259" target="_blank" >10.3390/math8122259</a>
Alternative languages
Result language
angličtina
Original language name
Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure
Original language description
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–Havrda–Charvát 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematics
ISSN
2227-7390
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
12
Country of publishing house
CH - SWITZERLAND
Number of pages
29
Pages from-to
1-29
UT code for WoS article
000602148400001
EID of the result in the Scopus database
2-s2.0-85098535615