Application of Five-Element Connection Number in Lake Eutrophication Evaluation

2011 ◽  
Vol 183-185 ◽  
pp. 211-215 ◽  
Author(s):  
Fan Xiu Li
Keyword(s):  
Water Resource Management ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Theory Method ◽  
Set Pair Analysis ◽  
Lake Eutrophication ◽  
Connection Number ◽  
Present Evaluation ◽  
Pair Analysis ◽  
New System

Set pair analysis (SPA) is emerging as a new system theory method for analyzing vagueness and uncertainty of facts. Many problems of uncertainty of fuzziness can be solved with the application of identity-discrepancy-contrary expression, and five-element connection number (FECN) is an extension of SPA. Aiming at the problem being too complex for the present evaluation methods on lake eutrophication, an assessment of lake eutrophication based on situation of five-element connection number was suggested. The results of the assessment are basically in concordance with other evaluation methods. So, the evaluation model provides realistic support for remediation-related decisions for water resource management.

Set Pair Analysis Model Based on Grey Relational Degree for Lake Eutrophication Evaluation

2013 ◽  
Vol 726-731 ◽  
pp. 1041-1044
Author(s):  
Ren Fang Wang ◽  
Wen Min Gao ◽  
Fan Xiu Li
Keyword(s):  
Evaluation Methods ◽  
Set Pair Analysis ◽  
Lake Eutrophication ◽  
Analysis Model ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Present Evaluation ◽  
Grey Relational ◽  
Pair Analysis ◽  
New System

Set pair analysis (SPA) is emerging as a new system theory method for analyzing vagueness and uncertainty of facts. Many problems of uncertainty of fuzziness can be solved with the application of identity-discrepancy-contrary expression. Aiming at the problem being too complex for the present evaluation methods on lake eutrophication, an assessment of lake eutrophication of SPA based on grey relational degree was suggested. The results of the assessment are in concordance with other evaluation methods.

scholarly journals Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number

2021 ◽  
Author(s):  
Zheng Li ◽  
Juliang Jin ◽  
Yi Cui ◽  
Libing Zhang ◽  
Chengguo Wu ◽  
...  
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Model ◽  
Set Pair Analysis ◽  
Connection Number ◽  
Water Resources Carrying Capacity ◽  
Micro Motion ◽  
Partial Connection ◽  
Pair Analysis ◽  
Regional Water

Abstract In order to describe the micro motion between the connection number components and seek a more applicable evaluation model, quantitatively evaluate and analyze regional water resources carrying capacity (WRCC). Firstly, an evaluation index system and grade standards of regional WRCC were constructed. Then, a method for determining the connection number was proposed, which considered the micro motion between the connection number components in system structure. Finally, built an evaluation model based on set pair analysis (SPA) and partial connection number (PCN) that used subtraction set pair potential (SPP) to identify vulnerability factors, and identification results were compared with total partial connection number (TPCN). The model was applied to Huaibei City, Anhui Province, China. The results showed that: the WRCC grade value was between 2 and 3 that was poor; the support and regulation subsystem grade value was between 2 and 3, and the pressure subsystem grade value was between 1 and 2. SPP identified that the support force and regulation force subsystem were the vulnerable subsystems. Eight indexes such as water resources per capita, rate of ecological water consumption and density of population were the main indicators causing the poor WRCC, which were in good agreement with the local measured data. In addition, the SPP and TPCN are compared to further verify rationality of the connection number determination method and reliability of the identification results. The model established in this paper has strong applicability and can also be used for the dynamic evaluation of other resources, environment and ecological carrying capacity. The results in this study can provide a scientific basis for water resources management and decision-making.

scholarly journals Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Guibin Yang ◽  
Hongyu Gao
Keyword(s):  
Knowledge Management ◽  
Evaluation Model ◽  
Development Trend ◽  
Enterprise Management ◽  
Set Pair Analysis ◽  
Chinese Enterprises ◽  
Connection Number ◽  
Provide Decision Support ◽  
The Development Trend ◽  
Pair Analysis

Since the knowledge resource becomes an important part of enterprise resources, the knowledge management risks could significantly affect the enterprise operation efficiency. Controlling knowledge management risks is one of the enterprise management tasks; the managers and researchers focus on how to effectively evaluate the risks. This paper aims to solve this problem and puts forward an evaluation model of the uncertain risks of knowledge management. Based on set pair theory, a model is established to identify the knowledge management risk. Through the concept of connection number, knowledge management risk is divided into five levels. Meanwhile, the development trend of knowledge management risk is classified into same tendency, equal tendency, and contrary tendency by the concept of set pair theory. The application of this model is empirically verified with Chinese enterprises. Through both static and dynamic evaluations of the knowledge management risk, this paper can effectively analyze risk development trend and provide decision support for the enterprise manager about the uncertain risks of knowledge management.

scholarly journals Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

2018 ◽  
Vol 6 (11) ◽  
Author(s):  
Kasonde Thadeo Mulenga ◽  
Fanxiu Li
Keyword(s):  
Confidence Interval ◽  
Fuzzy Number ◽  
Weighted Average ◽  
Triangular Fuzzy Number ◽  
Set Pair Analysis ◽  
Lake Eutrophication ◽  
Analysis Method ◽  
Connection Number ◽  
Partial Identity ◽  
Pair Analysis

Because traditional assessing methods usually yield extreme results and are of poor resolution, a set pair analysis based on triangular fuzzy number is established. Set pair analysis method is an uncertainty analysis method of the system whose formula structure analysis of connection degree is established by the identity degree, discrepancy degree and contrary degree to deal with all kinds of uncertainty and fuzzy problems. The measured value and the lake quality criteria are two interrelated sets put together to compose a set pair with respect to the problem of determination of the magnitude of lake eutrophication. The basic expression of the degree of couplet is extended at different levels and at the same level to form a multi-element connection number, in order to set up a five-element connection number in relation to I-V grades evaluation standard commonly used in lake assessment. The discrepancy degree is expanded into partial identity in discrepancy, entirety discrepancy and partial contrary in discrepancy, this forms a multivariate connection number of identity, partial identity in discrepancy, entirety discrepancy, partial contrary in discrepancy and contrary. By introducing triangular fuzzy number the number of links to get the evaluation grade for a confidence interval was obtained, weight value calculated by weighted average method and finally got the evaluation grade as a confidence interval based on confidence level. The case study shows that the method presents the evaluating grade as a confidence interval which has advantages of high resolution and information utilization.  

scholarly journals Improved Set Pair Analysis and Its Application to Environmental Impact Evaluation of Dam Break

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 821 ◽  
Author(s):  
Meimei Wu ◽  
Wei Ge ◽  
Zongkun Li ◽  
Zening Wu ◽  
Hexiang Zhang ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Impact Evaluation ◽  
Evaluation Model ◽  
Rapid Development ◽  
Dam Break ◽  
Good Effect ◽  
Set Pair Analysis ◽  
Management Measures ◽  
The Index System ◽  
Pair Analysis

Despite the rapid development of risk analysis in dam engineering, there is a relative absence of research on the environmental impact of dam break. As a systematic theory, set pair analysis has a good effect in dealing with uncertainties, although the result is relatively rough and easy to distort. A connection degree of five grades and a generalized set of potential are introduced to improve traditional set pair analysis. Combined with the index system, the evaluation model of the environmental impact of dam break is established, which is based on generalized set pair analysis. Taking Sheheji Reservoir dam as an example, a comparison of evaluation results of fuzzy mathematics theory and generalized set pair analysis is made, which verifies the scientificity and practicability of the method proposed in this paper. The results show that the evaluation grade of the environmental impact of dam break at Sheheji Reservoir is serious, and appropriate management measures should be taken to reduce the risk.

scholarly journals Optimization of Performance Evaluation of Urban Road Pavement

2021 ◽  
Vol 283 ◽  
pp. 02033
Author(s):  
Ziyi Zhang ◽  
Yu Sun ◽  
Han Xu ◽  
Qiyun Zhu
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Vital Role ◽  
Set Pair Analysis ◽  
Road Maintenance ◽  
Entropy Weight ◽  
Urban Road ◽  
The Road ◽  
Road Pavement ◽  
Pair Analysis

In recent years, urbanization has developed rapidly, and urban road play a vital role as the premise. Due to the good effectiveness of asphalt pavement, which is more popular in urban road, and road maintenance demands are also increasing. In order to make the maintenance work appropriate, accurate pavement performance evaluation is the premise. This paper collects the data of a road pavement condition in Shanghai and calculates the sub-indexes of each section. We use the entropy weight method to obtain the influence degree of each sub-index. Then we use the revised set pair analysis to construct the comprehensive performance evaluation model of urban road pavement. The analysis shows that compared with the standard method and the set pair analysis, the revised model is more objective, in line with the actual use of the road.

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