RETRACTED: Extended EDAS method for multiple attribute decision making in mixture z-number environment based on CRITIC method

Sun, Hong; Wei, Guiwu; Chen, Xudong; Mo, Zhi-Wen

doi:10.3233/jifs-212954

Cited by 13 publications

(2 citation statements)

References 47 publications

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“…The CRITIC method assigns objective weights to indicators by considering both the relative importance and conflicts among them [53]. This study proposes the following improvements to the traditional CRITIC method:…”

Section: Improved Critic Methods For Determining Objective Weights Of...mentioning

confidence: 99%

Evaluation Model and Application of the Implementation Effectiveness of the River Chief System (RCS)—Taking Henan Province as an Example

Liu,

Chen,

et al. 2023

Systems

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To scientifically evaluate the implementation of the River Chief System (RCS), accelerate the overall improvement of the water ecological environment, and promote the sustainable development of river and lake functions, this study selects 26 evaluation indicators from six aspects, including the effectiveness of organization and management, the effectiveness of water resources protection, the effectiveness of water environment management, the effectiveness of water pollution prevention and control, the effectiveness of water ecological restoration, and the effectiveness of the management of the waterside shoreline, and establishes an evaluation system for the effectiveness of the implementation of the RCS. Among the 26 indicators, data for the qualitative indicators mainly come from a series of statistical yearbooks and RCS reports, while data for the quantitative indicators are obtained through scoring by more than 20 experts and calculating the average. The CRITIC objective weighting method is improved from three aspects of comparison intensity, correlation coefficient, and degree of variation, and the subjective weighting of indicators is carried out using the AHP 1–5 scale method. The optimal linear combination of subjective and objective weighting results is obtained using the combination weighting method with game theory, which is auxiliary to the set pair analysis. Considering the “certainty” and “uncertainty” in the evaluation process, the four-element connection number model of set pair analysis is established to evaluate the implementation effect of the RCS in Henan Province from 2018 to 2021. The results show that the implementation effect of the RCS in Henan Province improves year by year and reaches excellent in 2019. The results of this study can be used as a reference for evaluating the work of the RCS in other regions and can also provide a reference for the study of evaluation problems in other fields.

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Section: Improved Critic Methods For Determining Objective Weights Of...mentioning

confidence: 99%

Evaluation Model and Application of the Implementation Effectiveness of the River Chief System (RCS)—Taking Henan Province as an Example

Liu,

Chen,

et al. 2023

Systems

View full text Add to dashboard Cite

show abstract

“…These techniques are often biased and do not capture the essence of the data [58]. Criteria Importance Through Inter-criteria Correlation (CRITIC), as a commonly used objective weighting method proposed by Diakoulaki et al [59], can determine weights by considering both data volatility and correlations, unlike some methods that consider only one aspect [60]. The CRITIC method takes sample indicator values as input.…”

Section: Weight Assignmentmentioning

confidence: 99%

Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China

Wang

Yu³

et al. 2023

Sustainability

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Global climate change and rapid socio-economic development have increased the uncertainty in water resource systems and the complexity of water risk issues. Analyzing water risk and its spatial distribution is integral to the attainment of Sustainable Development Goal (SDG) 6, as this contributes to effective water resource partition management. In this paper, a compiling method of risk atlas with multiple layers is proposed, and the water risk system is divided into five sub-systems including the risk of resource, management, engineering, quality, and disaster. The information used for the risk atlas is calculated by a risk evaluation model based on a Pressure–State–Response (PSR) framework, hierarchical cluster, and set pair analysis (SPA). Risks in the Qinling Mountains of Shaanxi (as a case study) are evaluated and visualized. The results show that grades IV and V of engineering, disaster, and resource risk exceed 40%, indicating that they require prior control. The quality and management risks are not major, but there is still room for improvement. Overall, the risk atlas can effectively and objectively reflect the spatial distribution of water risk and provide a basis for the layout of water risk control measures.

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A generalized integrated framework for urban public transport operations evaluation based on interval neutrosophic TODIM and EDAS technique

Cai

2024

Soft Comput

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RETRACTED: Extended EDAS method for multiple attribute decision making in mixture z-number environment based on CRITIC method

Cited by 13 publications

References 47 publications

Evaluation Model and Application of the Implementation Effectiveness of the River Chief System (RCS)—Taking Henan Province as an Example

Evaluation Model and Application of the Implementation Effectiveness of the River Chief System (RCS)—Taking Henan Province as an Example

Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China

A generalized integrated framework for urban public transport operations evaluation based on interval neutrosophic TODIM and EDAS technique

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