Prediction analysis model of integrated carrying capacity using set pair analysis

Wei, Chao; Dai, Xiaoyan; Ye, Shufeng; Guo, Zhongyang; Wu, Jianping

doi:10.1016/j.ocecoaman.2015.11.011

Cited by 32 publications

(24 citation statements)

References 4 publications

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“…In this method, the fuzzy number of parameters is constructed by evaluating the threshold value of the class as fuzzy number, and the difference coefficient is calculated by the difference between the left extreme value S j(0) and the right extreme value S j (5) .…”

Section: Identical-discrepancy-contrary Hierarchy Methodsmentioning

confidence: 99%

“…Currently we use more of the indirect analysis method adopted to determine the correlation. The indirect analysis method includes two ways, one is on the set pair analysis about the characteristics of analysis of tectonic expression "functional" as fuzzy connection degree, such as "attribute recognition method"; the other is to use the "function" to construct the connection component, and to establish the expression of the fuzzy relation degree, such as the "identical-discrepancy-contrary hierarchy method" [5,38].…”

Section: Fuzzy Correlation Degreementioning

confidence: 99%

“…Wang et al combined wavelet de-noising and Rank-Set Pair Analysis to improve the forecasting of hydro meteorological time series [4]. Wei et al used a set pair analysis model to predict the development trend of integrated carrying capacity [5]. Kumar and Garg attempted to score different preferences of subjects based on the set pair analysis [6].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis

Men

Liu

2018

Water

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Beijing-Tianjin-Hebei is an area with insufficient per capita water resources. This study evaluates the current status and development trend of sustainable use of water resources in the region, and identifies specific factors influencing sustainable development so as to provide a theoretical basis and data support for the management of water resources in the Beijing-Tianjin-Hebei region. Applying the compound system of social, economic and ecological environment, this study established an evaluation index system. The evaluation index data is obtained through the relevant calculations based on the National Economic and Social Development Announcement, the Water Resources Bulletin and the National Bureau of Statistics data. The index weights are calculated using a combination of rough set and fuzzy theory. The obtained weights were added to the set pair analysis method to acquire evaluation results. Based on the traditional set pair analysis method, this study proposes a new set pair analysis method (Method 4) using S-type functions (Formula (11)) instead of the addition weighted synthesis method (Formula (10)) in the calculation of weighted connections. In order to verify the feasibility of this method, the Spearman correlation coefficient method was used to calculate the correlation coefficient between evaluation results of Method 4 and evaluation results of other traditional methods. In addition, the set pair exponential potential is adopted to determine the impact indicators of the sustainable utilization of water resources in Beijing-Tianjin-Hebei in this study. The results show that in the Beijing-Tianjin-Hebei region, the overall level of sustainable use of water resources has been gradually raised in the past 12 years. The results of the set pair analysis method that cites S-type functions have obtained higher Spearman correlation coefficients than traditional methods. The values of the correlation coefficients are 0.9954, 0.9910, and 0.9928 respectively in Beijing, Tianjin and Hebei. Moreover, according to the results of set pair exponential potential, the indicators in the region are quasi-inverse potential or strong inverse potential, including per capita water resources and the ecological environment water use rate. Thus, a dense population with scarce water resources, and a lack of ecological water are the common problems that Beijing, Tianjin and Hebei have to face.

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Section: Identical-discrepancy-contrary Hierarchy Methodsmentioning

confidence: 99%

Section: Fuzzy Correlation Degreementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis

Men

Liu

2018

Water

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“…SPA is a multifunctional assessment method that is simple in concept and easy to apply [22], and it is a systematic analysis method that deals with uncertain problems; it is also an uncertainty theory that integrates certainty and uncertainty [23]. SPA is practical in various fields and can be used in the investigation of leaking water from a dam [24], quality assessment of groundwater [25], evaluation of surrounding rock stability [26], hazard assessment of debris flow and landslides [22,27], assessment of a water resources system [28], comprehensive risk assessment of floods [23], safety assessment of thermal power plants [29], risk assessment of water pollution sources [30], prediction analysis of integrated carrying capacity [31], and so on. In SPA, one of the cores is the confirmation of assessment index weight.…”

Section: Introductionmentioning

confidence: 99%

Application of a Cloud Model-Set Pair Analysis in Hazard Assessment for Biomass Gasification Stations

Yan

2017

PLoS ONE

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Because a biomass gasification station includes various hazard factors, hazard assessment is needed and significant. In this article, the cloud model (CM) is employed to improve set pair analysis (SPA), and a novel hazard assessment method for a biomass gasification station is proposed based on the cloud model-set pair analysis (CM-SPA). In this method, cloud weight is proposed to be the weight of index. In contrast to the index weight of other methods, cloud weight is shown by cloud descriptors; hence, the randomness and fuzziness of cloud weight will make it effective to reflect the linguistic variables of experts. Then, the cloud connection degree (CCD) is proposed to replace the connection degree (CD); the calculation algorithm of CCD is also worked out. By utilizing the CCD, the hazard assessment results are shown by some normal clouds, and the normal clouds are reflected by cloud descriptors; meanwhile, the hazard grade is confirmed by analyzing the cloud descriptors. After that, two biomass gasification stations undergo hazard assessment via CM-SPA and AHP based SPA, respectively. The comparison of assessment results illustrates that the CM-SPA is suitable and effective for the hazard assessment of a biomass gasification station and that CM-SPA will make the assessment results more reasonable and scientific.

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“…In their model, the actual problem of the stability of the surrounding rocks was described by extenics. In addition, SPA can be utilized in the multifunctional assessment of crop production (Tao et al 2014), assessment of river ecosystems (Jiang et al 2015), evaluation of sustainable water resources systems (Du et al 2015), health assessment of urban ecosystems (Su et al 2009), risk assessment of water pollution sources , evaluation of industrial wastewater (Yue et al 2014), and prediction analysis of integrated carrying capacity for cities (Wei et al 2016). However, hazardous factors of biomass gasification station are complicated, and the safety requirements are high.…”

Section: Introductionmentioning

confidence: 99%

Hazard Assessment for Biomass Gasification Station Using General Set Pair Analysis

Yan

et al. 2016

BioResources

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aHazard assessment is critical for a biomass gasification station because it includes various hazardous factors. Set pair analysis (SPA) is a convenient and effective method for hazard assessment, but it has limitations, including (1) the inability to reflect the difference when the data belong to the same hazard grade and (2) the assessment results lack precision and accuracy. This study proposes an improved method designated as general set pair analysis (GSPA). Connection measure degree (CMD), which is based on the cosine function, as well as weighting deviation degree (WDD), relative membership degree (RMD), and comprehensive index (CI) were proposed in GSPA, and the algorithms were generated. The calculated results of these different methods can be utilized to overcome the shortcomings of SPA during hazard assessment. A case study of two biomass gasification stations in Shenyang City, Liaoning Province, Northeast China, was performed. The hazard assessment results of the GSPA were compared with those of SPA. The results showed that GSPA is a more effective, precise, and accurate method for hazard assessment of a biomass gasification station.

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Prediction analysis model of integrated carrying capacity using set pair analysis

Cited by 32 publications

References 4 publications

Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis

Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis

Application of a Cloud Model-Set Pair Analysis in Hazard Assessment for Biomass Gasification Stations

Hazard Assessment for Biomass Gasification Station Using General Set Pair Analysis

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