Ranking Fuzzy Numbers with Fuzzy Analytical Hierarchy in Risk Assessment

Shukri, Fatin Amirah Ahmad; Isa, Zaidi

doi:10.13189/cea.2020.080431

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…The assessment criteria weights were generated using the FAHP, and the alternatives' rankings were determined using the COPRAS technique. While evaluating the endpoint of the risk factor stages, Shukri et al [24] employed FAHP to identify the relative significance of the associated criteria used for the option, which has gained popularity in decision-making settings. Expert subjective judgment was used to generate the priority weight vector with each risk item, using a paired comparison.…”

Section: Related Workmentioning

confidence: 99%

Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP

et al. 2022

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People use mHealth applications to help manage and keep track of their health conditions more effectively. With the increase of mHealth applications, it has become more difficult to choose the best applications that are user-friendly and provide user satisfaction. The best techniques for any decision-making challenge are multi-criteria decision-making (MCDM) methodologies. However, traditional MCDM methods cannot provide accurate results in complex situations. Currently, researchers are focusing on the use of hybrid MCDM methods to provide accurate decisions for complex problems. Thus, the authors in this paper proposed two hybrid MCDM methods, CODAS-FAHP and MOORA-FAHP, to assess the usability of the five most familiar mHealth applications that focus on type 2 diabetes mellitus (T2DM), based on ten criteria. The fuzzy Analytic Hierarchy Process (FAHP) is applied for efficient weight estimation by removing the vagueness and ambiguity of expert judgment. The CODAS and MOORA MCDM methods are used to rank the mHealth applications, depending on the usability parameter, and to select the best application. The resulting analysis shows that the ranking from both hybrid models is sufficiently consistent. To assess the proposed framework’s stability and validity, a sensitivity analysis was performed. It showed that the result is consistent with the proposed hybrid model.

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Section: Related Workmentioning

confidence: 99%

Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP

et al. 2022

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Investigation of Submarine Pipeline Failure Accidents in Deepwater Based on the Fuzzy Analytical Hierarchy Process

Ismayilova

Shahlarli

Ismayilova

2023

Lecture Notes in Networks and Systems

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Design selection for a hemispherical dimple core sandwich panel using hybrid multi-criteria decision-making methods

Faidzi

Abdullah

et al. 2022

Nanotechnology Reviews

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The aim of this article is to determine the relationships between the essential criteria for the performance of sandwich panels and various alternative hemispherical core designs using a hybridisation technique within the multi-criteria decision-making method. A major reduction in core density reduced the structural integrity of the metal sandwich panel and promoted a significant effect of failure such as early delamination. Therefore, an effective optimisation analysis with highly precise determination is required to reduce the overall cost. The output from the finite element analysis was segregated into the nine main criteria that contributed to the sandwich panel performance. The analytical hierarchical process was used to develop a pairwise comparison matrix table and determine the weightages for each criterion. Further analysis using the technique for order preference by similarity to ideal solution (TOPSIS) was conducted to find the optimal solution for the core design. The results showed that a hemispherical dimple core design with a diameter of 6.0 mm and a depth of 3.0 mm achieved the highest-ranked closeness coefficient (CCi = 0.930 and 0.996) at both 70 and 50% of cyclic loading conditions. It was concluded that using small dimensions in the hemispherical core design configuration tends to produce better bonding strength performance in the sandwich panel, rather than configurations of larger dimensions. Hence, this method proved to be effective in determining the optimum selection, although the criteria and alternatives are intertwined, which complicates the process.

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Ranking Fuzzy Numbers with Fuzzy Analytical Hierarchy in Risk Assessment

Cited by 5 publications

References 14 publications

Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP

Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP

Investigation of Submarine Pipeline Failure Accidents in Deepwater Based on the Fuzzy Analytical Hierarchy Process

Design selection for a hemispherical dimple core sandwich panel using hybrid multi-criteria decision-making methods

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