Uncertainty analysis of impact factors of eco-environmental vulnerability based on cloud theory

Zhang, Hongyang; Wang, Tongtong; Ding, Zelin; Zhang, Xianqi; Liwei, Han

doi:10.1016/j.ecolind.2019.105864

Cited by 11 publications

(6 citation statements)

References 8 publications

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“…The Saaty scale was determined according to the average value assigned by the experts in the 2 rounds of the consultation so as to construct the judgment matrix 10–13 . The square root method was used to determine the weight and its maximum eigenvalue.…”

Section: Methodsmentioning

confidence: 99%

“…The Saaty scale was determined according to the average value assigned by the experts in the 2 rounds of the consultation so as to construct the judgment matrix. [10][11][12][13] The square root method was used to determine the weight and its maximum eigenvalue. The single ranking, total ranking, and consistency tests were carried out to determine the weight value of each level index, and the weight value of each level index was sequenced according to its size.…”

Section: Elaboration Of the Principles Of The Promotion Planmentioning

confidence: 99%

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Using the Delphi Method to Construct a Promotion Plan for Clinical Nurse Specialists

Han

Gao

et al. 2021

Clin Nurse Spec

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Purpose The aim of this study was to design a quantitative evaluation of the promotion plan for clinical nurse specialists in China. Design The evaluation indexes were selected and established by inquiring 22 experts and using the analytic hierarchy process. The promotion plan was sent to 22 specialized nurses. The reference value was established by comparing the results from predictions made by experts and the self-evaluation of specialized nurses. Methods This study used the Delphi method and mixed qualitative and quantitative methods, which not only determined the entry of the promotion plan but also calculated its weight, and obtained the baseline score through a small range of empirical studies. Results This promotion plan included basic promotion conditions, 5 primary indicators, 15 secondary indicators, and 61 tertiary indicators and was designed by experts who had a high degree of authority in this field. The self-evaluation results of 19 specialist nurses showed a reference value of 30 points per 3 years using the promotion plan. For clinical nursing managers, it is a management tool to evaluate specialist nurses, which can provide a basis for the promotion of specialist nurses. Conclusions The promotion plan for clinical nurse specialists in China formed by this research is quantifiable, scientific, and instructive.

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Section: Methodsmentioning

confidence: 99%

Section: Elaboration Of the Principles Of The Promotion Planmentioning

confidence: 99%

Using the Delphi Method to Construct a Promotion Plan for Clinical Nurse Specialists

Han

Gao

et al. 2021

Clin Nurse Spec

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“…The model combines the fuzziness, randomness and dispersion of factors under uncertain conditions to describe uncertain indices quantitatively. Currently, the CM theory are widely used in risk assessment, environmental protection and other fields [20][21][22]. Cui [20] and Zhang [21] proposed the use of the CM theory for improving the AHP algorithm to assess the sustainability of mineral resources and environmental vulnerability.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, the CM theory are widely used in risk assessment, environmental protection and other fields [20][21][22]. Cui [20] and Zhang [21] proposed the use of the CM theory for improving the AHP algorithm to assess the sustainability of mineral resources and environmental vulnerability. Xie et al [18] assessed the fire and explosion risk of oil depots, considering the research of Cui et al, and proposed a Cloud-AHP algorithm based on the fuzzy cloud membership function.…”

Section: Introductionmentioning

confidence: 99%

Quantification study of mental load state based on AHP–TOPSIS integration extended with cloud model: methodological and experimental research

Zheng

Hao

Wang

et al. 2023

Complex Intell. Syst.

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Mental load affects the work efficiency and mental health of operators, and it has a vital effect on the efficiency and reliability of human–machine systems. In this study, the evaluation index system of operators’ mental load was used to quantitatively evaluate the mental load state of workers. The system was established by selecting indices from the operators’ physiological parameters, subjective feelings, and time perception. We propose an extended cloud evaluation model of mental load states that combines cloud model (CM) theory with analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) and provides mental load levels. An energetic material initiation experiment was conducted to evaluate the mental load state of the operators using the proposed method, and the results of a fuzzy comprehensive evaluation and subjective questionnaire were used to verify the performance of the method. The results show that the extended CM evaluation method scientifically and reliably quantified the mental load state. Applying the AHP-TOPSIS integration extended with the CM theory evaluation method in mental load state evaluation provides a new scientific method for studying the quantification of the mental load state and occupational health of workers in hazardous environments. The results of this study are a reference for assessing the mental state of personnel and analyzing occupational suitability for dangerous posts.

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“…Numerous studies have investigated changes in the Chinese eco-environment through different perspectives or indicators, such as the following: (1) vegetation change, which is represented by the normalized difference vegetation index (NDVI) derived from remotesensing data [18][19][20]; (2) changes in ecosystem service values or functions, which can be measured by integrating a series of ecosystem services, such as soil formation, waste treatment, biological control, and food production [21][22][23]; (3) changes in the ecological footprint, which measures anthropogenic pressure changes in the environment, and a declining ecological footprint, contributing to the improvement of eco-environmental quality [24,25]; (4) the eco-environmental vulnerability index, which integrates several subsystems, such as land-resource conditions, water-heat meteorological conditions, geological conditions, and human impacts, to reflect the sustainable development ability of a region [26][27][28][29]; and (5) changes in the eco-environmental quality index (EQI), evaluating the different eco-environmental quality (EQ) of the land-use type and then calculating the EQ changes caused by land-use transition [30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Empirical Examinations of Whether Rural Population Decline Improves the Rural Eco-Environmental Quality in a Chinese Context

Liu

2022

Remote Sensing

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Rural population has continually declined in response to the rapid urbanization process occurring in China, and the related negative socioeconomic impacts on rural development have attracted considerable attention from scholars. Currently, few studies have investigated the eco-environmental impact of rural population decline. By employing remote-sensing data, including land-use and normalized difference vegetation index (NDVI) data, this study proposed a method based on the eco-environmental quality index (EQI) to measure the changes in the rural eco-environmental quality (REQ) at the prefectural level from 2000 to 2020. Then, we examined the impacts of rural population decline on REQ variations. We found that (1) most of the research units experienced continuous rural population decline during the research period, with the rural population density declining more than 25% from 2010 to 2020 in approximately half of the research units; (2) the REQ improved in most of the units, especially in the western region, but there were still many units that experienced a decline in the REQ, which were primarily concentrated in the coastal and central regions; (3) rural population decline improved the REQ, but its impacts varied regionally; and (4) rural population density, natural factors, and eco-environmental protection programs had significant influences on REQ variations. These findings may provide a reference for sustainable-development policies in rural China and other developing countries.

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Uncertainty analysis of impact factors of eco-environmental vulnerability based on cloud theory

Cited by 11 publications

References 8 publications

Using the Delphi Method to Construct a Promotion Plan for Clinical Nurse Specialists

Using the Delphi Method to Construct a Promotion Plan for Clinical Nurse Specialists

Quantification study of mental load state based on AHP–TOPSIS integration extended with cloud model: methodological and experimental research

Empirical Examinations of Whether Rural Population Decline Improves the Rural Eco-Environmental Quality in a Chinese Context

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