Improvement of set pair analysis evaluation method and its application on urban water security

2011 ◽  
Author(s):  
Fengshun Yang ◽  
Dongguo Shao ◽  
Chun Xiao ◽  
Xuezhi Tan ◽  
Wenquan Gu ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Water Security ◽  
Urban Water ◽  
Set Pair Analysis ◽  
Pair Analysis

Improved Set Pair Analysis Model for Urban Water Security Assessment

2014 ◽  
Vol 1065-1069 ◽  
pp. 2903-2908
Author(s):  
Feng Shun Yang ◽  
Cheng Jian Xu ◽  
Xiao Min Huang ◽  
Jun Rong Shao
Keyword(s):  
Water Security ◽  
Indicator System ◽  
Urban Water ◽  
Set Pair Analysis ◽  
Security Assessment ◽  
Analysis Model ◽  
Connection Degree ◽  
Evaluation Indicator System ◽  
Improved Model ◽  
Pair Analysis

In view of uncertainty and complexity in the process of urban water security assessment, Set Pair Analysis Model (SPAM) is adopted. Specially, in this study, the model is improved from two aspects: (1) three-element connection degree is expanded to multi-element connection degree, which makes the depiction of state space more accurate; (2) credible degree criterion and marking criterion are combined to analyze the assessment results. The improved model is applied to Wuhan city, China. The evaluation indicator system with clearly logic and hierarchy are built and the weight of each indicator is confirmed by the analytical hierarchy process (AHP). The evaluation results show that, overall, water security state of Wuhan is good and there is continuous improvement, which is in good agreement with the true situation. The comparison between the results of the model and two other evaluation methods verifies the rationality and reliability of the developed model. In addition, the results also indicate that the developed model is more accurate than ordinary SPAM. Consequently, it is concluded that the model can be an effective tool for urban water security assessment.

Set Pair Analysis Method for Water Quality Evaluation Based on Nonlinear Power Function

2012 ◽  
Vol 573-574 ◽  
pp. 497-500 ◽  
Author(s):  
Qi Si ◽  
Ming Chang Li ◽  
Guang Yu Zhang ◽  
Shu Xiu Liang ◽  
Zhao Chen Sun
Keyword(s):  
Power Function ◽  
Evaluation Method ◽  
Bohai Bay ◽  
Set Pair Analysis ◽  
Water Quality Evaluation ◽  
Building Site ◽  
Analysis Theory ◽  
Pair Analysis ◽  
Easy Operation

In this paper, synthetic evaluation method with nonlinear power function for membership function and systematic procedure are presented with set pair analysis theory. The case study shows the presented method works well in one building site of Bohai Bay and has advantages of concision, easy-operation and high precision, so the evaluation results are credible.

Evaluation of Highway Traffic Safety Facilities Based on Set Pair Analysis

2015 ◽  
Vol 730 ◽  
pp. 73-76
Author(s):  
Yao Wu ◽  
Jian Lu ◽  
Wan Qiu Zhu ◽  
Hong Tong Qiu
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Set Pair Analysis ◽  
Highway Traffic ◽  
Freeway Traffic ◽  
Connection Degree ◽  
Pair Analysis

In order to make a reasonable evaluation of highway traffic safety facilities, a comprehensive evaluation method based on set pair analysis was proposed. An evaluation system of freeway traffic safety facilities was established. Combined with relevant norms and standards, each indicator in the evaluation system was divided and a reasonable threshold has been set. Through the calculation of the connection degree of ‘identicalness, differentness and reverse’, the maximum connection degree criterion was used to judge the evaluation results of freeway traffic safety facilities. Finally a case study was conducted to verify the proposed evaluation method. The case study shows that the selected highway traffic safety facilities are at a good level and this method can provide scientific decision basis for highway traffic facility renovation.

scholarly journals A Heuristic Projection Pursuit Method Based on a Connection Cloud Model and Set Pair Analysis for Evaluation of Slope Stability

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2016
Author(s):  
Mingwu Wang ◽  
Yan Wang ◽  
Fengqiang Shen ◽  
Juliang Jin
Keyword(s):  
Slope Stability ◽  
Evaluation Method ◽  
Cloud Model ◽  
Projection Pursuit ◽  
Convergence Speed ◽  
High Dimensional ◽  
Fruit Fly Optimization Algorithm ◽  
Set Pair Analysis ◽  
Multiple Uncertainties ◽  
Pair Analysis

Determining the projection direction vector (PDV) is essential to the projection pursuit evaluation method for high-dimensional problems under multiple uncertainties. Although the PP method using a cloud model can facilitate interpretation of the fuzziness and randomness of the PDV, it ignores the asymmetry of the PDV and the fact that indicators are actually distributed over finite intervals; it quickly falls into premature defects. Therefore, a novel PP evaluation method based on the connection cloud model (CCM) is discussed to remedy these drawbacks. In this approach, adaptive numerical characteristics of the CCM are adopted to represent the randomness and fuzziness of the candidate PDV and evaluation indicators. Meanwhile, to avoid complex computing and to accelerate the convergence speed of the optimization procedure, an improved fruit fly optimization algorithm (FOA) is set up to find the rational PDV. Alternatively, candidate PDVs are mutated based on the mechanism “pick the best of the best” using set pair analysis (SPA) and chaos theory. Furthermore, the applicability and reliability are discussed based on an illustrative example of slope stability evaluation and comparisons with the neural network method and the PP evaluation method based on the other FOAs and the genetic algorithm. Results indicate that the proposed method with simpler code and quicker convergence speed has good global ergodicity and local searching capabilities, and can better explore the structure of high-dimensional data with multiple uncertainties and asymmetry of the PDV relative to other methods.

Assessment of urban water security based on catastrophe theory

2012 ◽  
Vol 66 (3) ◽  
pp. 487-493 ◽  
Author(s):  
Fengshun Yang ◽  
Dongguo Shao ◽  
Chun Xiao ◽  
Xuezhi Tan
Keyword(s):  
Catastrophe Theory ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Water Security ◽  
Fuzzy Comprehensive Evaluation ◽  
Urban Water ◽  
Improved Method ◽  
Comprehensive Evaluation Method ◽  
Scope Of Application ◽  
Cramer’S Rule

In this study, a model for assessing urban water security is developed using an evaluation method of catastrophe theory. To overcome the defects of the traditional catastrophe evaluation method, two aspects of improvement are assessed. One is expanding the scope of application of the traditional catastrophe approach, i.e., new normalization formulae for five lower level indicators contained in the index at the higher level is proposed in theory. The other is solving the problem that the synthetic values are generally high and the differences are not obvious based on the theories of Cramer's Rule and Vander monde determinant. The assessment results in Wuhan city are in good agreement with the actual situation. The comparison between the results of the improved method and a fuzzy comprehensive evaluation method verifies the science and reliability of the developed method. Consequently, it is concluded that the improved method can be an effective tool for assessment of urban water security and provide a valuable reference for improving inadequacies in urban water security.

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