2022
DOI: 10.3390/risks10110213
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Development of the PRISM Risk Assessment Method Based on a Multiple AHP-TOPSIS Approach

Abstract: The PRISM method is a risk assessment approach that focuses on hidden-risk identification and ranking. The combined AHP-PRISM method was created for strategic assessments based on pairwise comparisons. The PRISM and AHP-PRISM methods have remarkable visual decision support and control functions that make them useful in practical problem solving. However, the methods can be successfully applied with the same factor weights. To eliminate this significant disadvantage and enable an in-depth analysis of the altern… Show more

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Cited by 14 publications
(8 citation statements)
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“…These computations of TOPSIS method can be summarized in the following steps (Vahdani et al, 2013) (Bognár et al, 2022;Irfan et al, 2022):…”
Section: 1topsis Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…These computations of TOPSIS method can be summarized in the following steps (Vahdani et al, 2013) (Bognár et al, 2022;Irfan et al, 2022):…”
Section: 1topsis Methodsmentioning
confidence: 99%
“…These computations of the TOPSIS method can be summarized in the following steps (Vahdani et al 2013;Bognár et al 2022;Irfan et al 2022): where I ′ is associated with benefit criteria, and I ε is associated with cost criteria. 4.…”
Section: Topsis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among them, TOPSIS is a comprehensive evaluation method for multi-attribute decision analysis by ranking the closeness between multiple evaluation objects and ideal solutions [33]. Bognár et al [34] proposed the AHP-TOPSIS-based PRISM method, which can be applied more widely for practical decision-making problems than the previous PRISM approaches. Zeng et al [35] improves the TOPSIS by introducing the Mahalanobis distance and Pearson correlation coefficients.…”
Section: Introductionmentioning
confidence: 99%
“…This study aims to apply the AHP-TOPSIS method innovatively to evaluate the emergency management capacity of resilient communities. The method provides different factor weights for the assessment object and in-depth analysis based on the best and worst ideal solution scenarios [ 42 , 43 ].…”
Section: Introductionmentioning
confidence: 99%