2023
DOI: 10.1016/j.jik.2022.100289
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A novel method for the performance evaluation of institutionalized collaborative innovation using an improved G1-CRITIC comprehensive evaluation model

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Cited by 22 publications
(10 citation statements)
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“…The G1 method, an improved weight assignment approach based on AHP, does not call for the creation of a judgment matrix or a consistency test, is simple to calculate, and has good operability. 28 The G1 method, however, suffers from the issue of fixed relative importance of indicators, and expert specialists' subjective assessment of relative importance will result in an excessively wide gap between the maximum and minimum values of the weight of index elements. In order to address this issue, it is suggested in this study that Pythagorean fuzzy DEMATEL be added to the G1 empowerment process, and that the method of having experts determine the order relationship be changed to make G1 empowerment more flexible and rational.…”
Section: Determine the Index Weights Based On The Pfdematel-g1 Methodsmentioning
confidence: 99%
“…The G1 method, an improved weight assignment approach based on AHP, does not call for the creation of a judgment matrix or a consistency test, is simple to calculate, and has good operability. 28 The G1 method, however, suffers from the issue of fixed relative importance of indicators, and expert specialists' subjective assessment of relative importance will result in an excessively wide gap between the maximum and minimum values of the weight of index elements. In order to address this issue, it is suggested in this study that Pythagorean fuzzy DEMATEL be added to the G1 empowerment process, and that the method of having experts determine the order relationship be changed to make G1 empowerment more flexible and rational.…”
Section: Determine the Index Weights Based On The Pfdematel-g1 Methodsmentioning
confidence: 99%
“…The G1 method has the advantages of fast calculation, no consistency test, and strong stretching of the number of elements in the same level compared to the AHP. [11][12][13]. In addition, C-OWA allows us to combine numbers and assign extreme data to low-impact locations and target data to high-impact locations as well as integrate and assign weights to each metric, which greatly reduces the impact of subjective scores and results in more realistic weights that improve the level of application.…”
Section: Plos Onementioning
confidence: 99%
“…Historically, the performance of distribution networks was assessed primarily through technical indicators such as reliability, power quality, and loss rates. As the energy landscape evolved, with increased focus on sustainability, customer satisfaction, and integration of distributed energy resources, the range of evaluation indicators has expanded significantly [7] . Technical indicators remain the cornerstone of distribution network performance evaluation.…”
Section: Introduction 1importance Of Performance Evaluation In Distri...mentioning
confidence: 99%