Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting

Duan, Shanda; Li, Xuefeng; Jiang, Xiashi; Huang, Xuxing; Yang, Yihao; Du, Han; Xiao, Wuning

doi:10.3390/su152215734

Cited by 6 publications

(1 citation statement)

References 44 publications

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“…The combination of the AHP method and the CRITIC method using the cooperative game method can determine weights in a simple and efficient manner. Relevant literature suggests that this combination can effectively reduce subjectivity and randomness in weight calculation 43,44 . • Traditional risk assessment models focus on the use of simulation to give quantitative analysis results, and the parameters required for simulation are also more dependent on subjective judgment.…”

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confidence: 99%

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Zhu,

Sun,

Chen

et al. 2024

Preprint

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The development process of equipment research projects is fraught with uncertainties, making it challenging to provide an accurate and objective evaluation of their development costs. To enhance the accuracy of cost prediction for equipment research projects, it is essential to consider the cost risk level and conduct relevant research on cost risk assessment. This study proposes an improved two-dimensional cloud model that integrates qualitative concepts and quantitative data for researching equipment projects. An assessment index system is constructed with three primary indicators and twelve secondary indicators. The main factors affecting the cost are comprehensively considered. The probability of overspending and the degree of impact of overspending are taken as the basic variables for assessing each indicator according to the definition of cost risk. The study combined the Fuzzy Analytic Hierarchy Process (FAHP) method with the Criteria Importance Though Intercrieria Correlation (CRITIC) method using the cooperative game method to determine the weights of each assessment indicator. Subsequently, a two-dimensional cloud model was established to obtain the cloud eigenvalues. A two-dimensional cloud diagram was drawn through MATLAB to initially determine the risk level, and the closeness was calculated to accurately determine the results. Finally, using a specific anti-mine system as an example, we verified the validity and feasibility of the model by comparing it with the traditional method. The results demonstrate that the improved two-dimensional cloud model can overcome the ambiguity and randomness of data in cost risk assessment and can provide a reference for other scientific research projects of the same type.

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confidence: 99%

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Zhu,

Sun,

Chen

et al. 2024

Preprint

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Developing an Enterprise Management System using Weighted K-means Clustering Algorithm

2024

2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)

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Risk Assessment of Equipment Research Project Costs Based on FAHP‐CRITIC Combined Weights for Two‐Dimensional Cloud Model

Zhu,

Sun,

Chen

et al. 2024

Discrete Dynamics in Nature and Society

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The development of equipment research projects is replete with uncertainties, complicating the provision of accurate and objective evaluations of their development costs. To enhance the precision of cost predictions for such projects, it is critical to assess and integrate the cost‐risk level. This study introduces an improved two‐dimensional cloud model (TDCM) that effectively integrates qualitative concepts and quantitative data for analyzing equipment projects. First, the principal factors influencing cost are thoroughly evaluated, and an assessment index system is structured with three primary and twelve secondary indicators. The probability of budget overrun and its impact are designated as the primary variables for assessing each indicator, aligning with the definition of cost risk. Second, this research merges the fuzzy analytic hierarchy process (FAHP) with the criteria importance though intercriteria correlation (CRITIC) method, employing coalitional game theory to ascertain the weights of each assessment indicator. Third, a TDCM is developed to derive cloud eigenvalues, and a two‐dimensional cloud diagram is constructed through MATLAB to preliminarily ascertain the risk level, with the degree of nearness subsequently calculated to refine these results. Fourth, each indicator in the assessment system is treated as a node to construct a Bayesian network (BN) based on logical relationships, and a sensitivity analysis is conducted to identify sensitive indicators. Fifth, the development of a specific mine countermeasure (MCM) weapon system is examined as a case study, incorporating relevant existing data into the improved model. The validity and feasibility of the model are corroborated by comparing it with traditional methods. The results affirm that the enhanced TDCM effectively navigates the ambiguity and randomness inherent in cost‐risk assessment data, providing a reference for similar scientific research projects.

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Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting

Cited by 6 publications

References 44 publications

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Developing an Enterprise Management System using Weighted K-means Clustering Algorithm

Risk Assessment of Equipment Research Project Costs Based on FAHP‐CRITIC Combined Weights for Two‐Dimensional Cloud Model

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