Research Article
Evaluating Railway Operation Safety Situation in China Based on an Improved TOPSIS Method: A Regional Perspective
Table 2
Summary of relevant publications on the TOPSIS method.
| Subjects | Publications | Main contents | Methods | Weights | Data |
| Overviews | [19] | Describe the situation with reviews of MCDM methods | — | — | Related literature | [20, 22] | Development, classification, and comparison of TOPSIS methods | Clustering and comparative analysis | — | Related literature |
| Traditional TOPSIS | [23] | System operation performance evaluation | TOPSIS method based on the Euclidean distance | Entropy weight | Operational statistics |
| Fuzzy-TOPSIS | [24, 42] | Introduce fuzzy numbers to solve the uncertainty problem | TOPSIS method with fuzzy theory | Combined weight (subjective and entropy) | Surveys |
| SPA-TOPSIS | [36, 37] | Introduce connection number of SPA and IFS to handle the uncertainty problem | SPA-TOPSIS-IFS | Subjective weight | Numerical examples | [38] | Evaluate energy security performance from a regional perspective | SPA-TOPSIS | MTGS weight | Environmental statistics |
| Comprehensive application | [33] | Provide a comprehensive framework for solving the material selection problem | TOPSIS-COPRAS-DEA | Multiple weights (subjective, entropy, and digital logic) | Numerical examples | [34] | Develop a novel integrated model to improve the conventional FMEA technique | FMEA-TOPSIS-cloud model | Subjective weight | Numerical examples |
| Safety situation evaluation | This paper | Evaluate operational safety situation from a regional perspective | SPA-TOPSIS-CSM | Combined weight (subjective, natural, and entropy) | Accident statistics |
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IFS, intuitionistic fuzzy set; MTGS, Mahalanobis–Taguchi Gram–Schmidt method; COPRAS, complex proportional assessment; FMEA, failure mode and effect analysis.
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