Evaluation of social factors within the circular economy concept for European countries

Kaya, Sema Kayapınar; Ayçın, Ejder; Pamučar, Dragan

doi:10.1007/s10100-022-00800-w

Cited by 16 publications

(11 citation statements)

References 56 publications

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“…This perspective not only determines the objective weight of each criterion but may also make it easier for decision-makers to exclude certain criteria from the decision-making procedure (Rani et al. , 2022, p. 2615; Kaya et al ., 2022, p. 64). The MEREC uses an exclusion perspective and removal effects rather than the inclusion perspective, which is the basis of other objective weighting methods, to obtain objective criteria weights (Keshavarz-Ghorabaee, 2021, p. 5).…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…(2022) stated that the MEREC method is a novel method based on the removal effects of criteria and shows an interesting methodology. Ease of understanding and computation and a robust mathematical background can be lined up as the major advantages of the MEREC method (Kaya et al ., 2022, p. 4). The MEREC weights the criteria as an objective method proved to be reliable over a more traditional method as entropy and as a novel method applicable to be used for decision-making problems (Nicolalde et al ., 2022, p. 12).…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…A second weighting method is performed to show the accuracy of the method used, to compare the methods and to indicate that the most suitable one is used. However, the MEREC method allows more weight to be given to criteria with higher implications in solving the problem (Kaya et al ., 2022, p. 5; Nicolalde et al ., 2022, p. 4). The paths followed by the study are visually presented in Figure 1.…”

Section: The Merec Methods and Modifications: Merec-g And Merec-hmentioning

confidence: 99%

“…The presence of subjective judgments and irrational statements in the information used to create the initial matrix complicates the decision-making. To objectify/rationalize the decision-making process, researchers strive to create new methods that enable objective processing of inaccuracies/subjectivity in information (Kaya et al ., 2022, p. 65). Methods for determining criteria weights in MCDM models have been the subject of scientific research for many years.…”

Section: Introductionmentioning

confidence: 99%

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Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

KELEŞ

2023

IJIEOM

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PurposeThis study aims to apply new modifications by changing the nonlinear logarithmic calculation steps in the method based on the removal effects of criteria (MEREC) method. Geometric and harmonic mean from multiplicative functions is used for the modifications made while extracting the effects of the criteria on the overall performance one by one. Instead of the nonlinear logarithmic measure used in the MEREC method, it is desired to obtain results that are closer to the mean and have a lower standard deviation.Design/methodology/approachThe MEREC method is based on the removal effects of the criteria on the overall performance. The method uses a logarithmic measure with a nonlinear function. MEREC-G using geometric mean and MEREC-H using harmonic mean are introduced in this study. The authors compared the MEREC method, its modifications and some other objective weight determination methods.FindingsMEREC-G and MEREC-H variants, which are modifications of the MEREC method, are shown to be effective in determining the objective weights of the criteria. Findings of the MEREC-G and MEREC-H variants are more convenient, simpler, more reasonable, closer to the mean and have fewer deviations. It was determined that the MEREC-G variant gave more compatible findings with the entropy method.Practical implicationsDecision-making can occur at any time in any area of life. There are various criteria and alternatives for decision-making. In multi-criteria decision-making (MCDM) models, it is a very important distinction to determine the criteria weights for the selection/ranking of the alternatives. The MEREC method can be used to find more reasonable or average results than other weight determination methods such as entropy. It can be expected that the MEREC method will be more used in daily life problems and various areas.Originality/valueObjective weight determination methods evaluate the weights of the criteria according to the scores of the determined alternatives. In this study, the MEREC method, which is an objective weight determination method, has been expanded. Although a nonlinear measurement model is used in the literature, the contribution was made in this study by using multiplicative functions. As an important originality, the authors demonstrated the effect of removing criteria in the MEREC method in a sensitivity analysis by actually removing the alternatives one by one from the model.

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Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

Section: The Merec Methods and Modifications: Merec-g And Merec-hmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

KELEŞ

2023

IJIEOM

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“…MEREC focuses on the change in the total criteria weight by disabling that criterion when determining the weight of a criterion (Ecer and Pamucar, 2022). More clearly, the change in criteria weight gives the weight of a criterion (Kayapınar Kaya et al, 2022). This feature distinguishes MEREC from other objective weighting methods (Shannon's entropy, CRITIC, CILOS, etc.).…”

Section: The Merec Methodsmentioning

confidence: 99%

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Ecer¹,

Ayçın²

2022

Informatica

Self Cite

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Innovation can be the greatest hope of overcoming economic challenges. This paper aims to evaluate countries concerning their innovation performances. We introduce an innovation performance evaluation methodology by considering objective factors and applying seven reliable MCDM methods: MEREC, CODAS, MABAC, MARCOS, CoCoSo, WASPAS, and MAIRCA. MEREC calculates the relative weights of indicators considered, while the other techniques decide the ranking order of G7 countries. The Borda rule is then employed to gain an aggregated ranking order. “Business sophistication” is the most critical indicator, whereas the US has the best position regarding the overall ranking. Sensitivity control is as well conducted.

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Social circular economy for sustainable development in European Union member countries: a fuzzy logic-based evaluation

Candan,

Cengiz Toklu

2024

Soft Comput

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Evaluation of social factors within the circular economy concept for European countries

Cited by 16 publications

References 56 publications

Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Social circular economy for sustainable development in European Union member countries: a fuzzy logic-based evaluation

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