2021
DOI: 10.1080/01442872.2021.1994135
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Comparing the quality of governance across the European Union member countries: a grey relational analysis approach

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Cited by 7 publications
(6 citation statements)
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“…In addition, this analysis is considered one of the best decision-making methodologies because it requires only limited data, uncomplicated computations, and no statistical distribution. Koc xak and O ¨zer 25 note that GRA modeling can be divided into several phases: (1) determining the decision matrix, (2) normalization, (3) computing the difference matrix from the reference series, (4) determining grey relational coefficients, and (5) computing the grey relational degree.…”
Section: Grey Relational Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, this analysis is considered one of the best decision-making methodologies because it requires only limited data, uncomplicated computations, and no statistical distribution. Koc xak and O ¨zer 25 note that GRA modeling can be divided into several phases: (1) determining the decision matrix, (2) normalization, (3) computing the difference matrix from the reference series, (4) determining grey relational coefficients, and (5) computing the grey relational degree.…”
Section: Grey Relational Analysismentioning
confidence: 99%
“…23,24 Notably, GRA computation is intuitive and does not necessitate a large sample size, with the original mortality data not needing to adhere to any specific statistical distribution. 24,25 Consequently, this approach is apt for tackling problems involving complex interrelations among multiple objects with scarce information. The method has seen growing application across diverse fields, such as medical science, engineering management, and economics.…”
Section: Introductionmentioning
confidence: 99%
“…Applying grey relational analysis (GRA) models, this study aimed to assess the contribution of smoking bans to the decline of circulatory system diseases in Macao (China). GRA assumes a non-functional sequence model and does not generate results in conflict with qualitative analysis; its advantages include being computationally simple and not requiring large amounts of data or data normalization [38,39]. This method can be flexibly applied to various fields [38,40,41].…”
Section: Aims Of This Studymentioning
confidence: 99%
“…Different MCDM methods exist, each with distinct applications and variations based on criteria such as data aggregation, algorithm complexity, uncertainty handling, and criteria weighting. Grey Relation Analysis (GRA) is a variant of MCDM, and is particularly suited for revealing intricate quantitative and qualitative connections among variables when data are limited [76,77]. Basel et al (2021) [78] emphasized that GRA consolidates multifaceted performance factors into a single value, facilitating precise ranking of alternatives within a best-choice hierarchy.…”
Section: Grey Relational Analysis (Gra)mentioning
confidence: 99%