A Novel Hybrid Approach for Water Resources Carrying Capacity Assessment by Integrating Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process Methods with the Cloud Model

Ren, Bo; Zhang, Qiuwen; Ren, Juanhui; Song, Yuchen; Yan, Fei

doi:10.3390/w12113241

Cited by 21 publications

(10 citation statements)

References 23 publications

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“…In this study, we use fuzzy comprehensive evaluation to evaluate sports smart bracelets. Fuzzy comprehensive evaluation must determine the weight of each indicator, and many scholars have used AHP or EWM for this purpose [ 38 , 39 ]; however, only AHP is used to determine the weight of each evaluation indicator in this study, which makes it easy to obtain decision results with a certain degree of subjectivity. If the EWM is used to determine the weight of each evaluation indicator, it is easy to become divorced from reality.…”

Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

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Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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“…A variety of model methods have gradually emerged, such as principal component analysis [5,6] , matter-element model [7,8] , projection pursuit [9,10] , fuzzy evaluation [11][12][13] , multi-objective decision [14][15][16] , water footprint theory [17][18][19] , system dynamics method (SD) [20][21] . With the improvement of the theoretical system, the comprehensive method coupled model evaluation system [22,23] has been further improved, such as DPSIR model [24] , PSR model [25,26] , quality-domain-flow model [27][28] and multi-dimensional cloud model [29][30][31][32] . With the wide application of machine learning technology, neural network algorithm [33][34][35] , genetic algorithm [36,37] and particle swarm optimization algorithm [38,39] have been applied to the quantitative calculation of water resources carrying capacity.…”

Section: Introductionmentioning

confidence: 99%

Assessment and early warning of water resources carrying capacity in Dongting Lake Ecological Economic Zone

Fu,

Ding,

Wang

et al. 2024

Preprint

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Assessment of water resource carrying capacity is a useful tool for measuring the degree of realization of resource and environmental planning. Scientific monitoring and evaluation of water resource carrying capacity is a basic requirement for building ecological civilization and implementing the development concept of "green water and green mountains are golden mountains and silver mountains". Taking 26 county units in the Dongting Lake Ecological and Economic Zone in Hunan Province as the evaluation object, 22 water resource carrying capacity evaluation indicators were selected, and the comprehensive weight method of subjective and objective combination of hierarchical entropy weight evaluation method and weighted summation comprehensive scoring method were used to calculate the comprehensive water resource carrying capacity values of 26 "county units" in the Dongting Lake Ecological and Economic Zone during the 25-year research period of 1997–2021. The results were analyzed using gray correlation method and Ridge regression modeling. After processing the input data of each layer based on the evaluation index system, BP neural network regression training was conducted to obtain a prediction model for the future trend of water resource carrying capacity for prediction and analysis. The results show that: (1) In terms of time trend, the water resource carrying capacity of the study area was generally stable, between overload and critical. The change trend of water resource carrying capacity changed greatly among districts and counties; (2) In terms of spatial distribution, there were differences in the water resource carrying capacity of the Dongting Lake ecological and economic zone: the water resource carrying capacity around the western districts and counties and the central South Dongting Lake was higher than the northern Yueyang urban area; (3) Among the four criteria layers, the weight of water resources supporting capacity was the highest, with the smallest change, and the economic supporting capacity index had the largest change. The decline in water resources carrying capacity in most districts and counties was during a period of relatively rapid economic development; (4) It was predicted that the water resource carrying capacity of Nanxian, Hanshou, and Xiangyin counties around the South Dongting Lake would significantly increase in 2025, shifting from overload to a critical state, and maintaining this trend in the coming years; (5) Dingcheng District of Changde City would gradually transform from critical to overload, and maintain this trend in the coming years. To sum up, the key to improve the water resources carrying capacity of Dongting Lake Ecological Economic Zone was to prevent water resources pollution, optimize water resources allocation and improve water resources utilization efficiency. It was recommended from our study that the government should continue to strengthen the awareness of water environment protection and water environment governance measures, and regularly conduct environmental governance performance evaluation to improve the accuracy of comprehensive governance. Based on the long-term objectives, we should formulate measures to protect Dongting Lake, promote the construction of new urbanization, and develop green industries such as ecological agriculture, ecological industry, and ecological tourism according to local conditions.

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“…Wang et al used the EFAST cloud model [7], and Huang et al developed a water resource security evaluation model based on a combination weight cloud model [8]. Ren et al evaluated the water resource utilization in Datong City, Shanxi Province based on a normal cloud model and improved the accuracy [9]. Their results showed that the cloud model was effective in solving uncertainty problems and has achieved certain practical application effects.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Carrying Capacity of Water Resource in the Heihe River Basin Based on Game Theory and Cloud Model

Deng,

Xu,

Niu

et al. 2024

IJESP

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To optimize the allocation of water resources and ensure sustainable water resources management, we evaluated the carrying capacity of water resources in the Heihe River Basin. 16 evaluation indicators were selected from the social, economic, ecological, and water resource systems to construct an evaluation system of the carrying capacity. The combination weight and membership degree were determined using the game theory combined with the weighting method and normal cloud model. The water resource utilization efficiency during 21 years was estimated by analyzing influencing factors and development trends of carrying capacity of water resources. The water use rate was important in the carrying capacity, and indicators such as urbanization rate, per capita Gross Domestic Product (GDP), sewage discharge per 10000 yuan, and water consumption per 10000 yuan of industrial output value were important factors affecting the carrying capacity. The carrying capacity of the Heihe River Basin increased from a severe overload status (Level I) in 2000 to a good status (Level V) in 2021. In the other years, the status remained at Level IV. The carrying capacity was improved. The result of TOPSIS confirmed the consistency of the development trend of the carrying capacity and the appropriateness of the developed evaluation model in this study. The model based on the game theory and cloud model can be used to effectively guide the sustainable development of water resources and improve the carrying capacity of water resources of the Heihe River Basin. The results of this study serve as a reference for establishing policies to save water resources and evaluate the carrying capacity of water resources.

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A Novel Hybrid Approach for Water Resources Carrying Capacity Assessment by Integrating Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process Methods with the Cloud Model

Cited by 21 publications

References 23 publications

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Assessment and early warning of water resources carrying capacity in Dongting Lake Ecological Economic Zone

Evaluation of Carrying Capacity of Water Resource in the Heihe River Basin Based on Game Theory and Cloud Model

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