Research on Construction Safety Evaluation Based on Fuzzy-Set Pair Analysis Model

2011 ◽  
Vol 383-390 ◽  
pp. 6587-6593
Author(s):  
Guo Zhong Huang ◽  
Zhong Guang Wu ◽  
Can Sheng Yang ◽  
Hui Liu
Keyword(s):  
Fuzzy Set ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Construction Safety ◽  
Evaluation Index System ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Pair Analysis

Given factors influencing construction safety has characteristics of fuzziness and uncertainty, an evaluation model based on Fuzzy-Set Pair Analysis is put forward, which combines advantages of fuzzy comprehensive analysis method and set pair analysis method. According to characteristics of construction, the construction safety evaluation index system is constructed, the weight of each index is determined by Interval Analytic Hierarchy Process （IAHP） and connection degree is calculated, so the safety condition development and uncertainty rank of evaluated construction sites are calculated. It is shown that the model can deal with certainty and uncertainty of information in safety evaluation at the same time, thus good results can be obtained through application of the model.

scholarly journals An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Sen Tian ◽  
Jianhong Chen
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation Model ◽  
Back Propagation ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Operation Rate ◽  
Network Methods ◽  
Neural Network Algorithm

With the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. The entire analysis shows the combination of the two methods increases the accuracy and reliability of the safety evaluation, and it can be well applied in the TSF safety evaluation.

Fuzzy Comprehensive Evaluation Based on Set Pair Analysis of the Rural Power Grid Planning Project

2013 ◽  
Vol 756-759 ◽  
pp. 2663-2667
Author(s):  
Jian Xun Qi ◽  
Shu Liang Liu ◽  
Juan Li Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Power Grid ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Set Pair Analysis ◽  
Planning Project ◽  
Power Grid Planning ◽  
Grid Planning ◽  
Pair Analysis

On the basis of discussing the basic features of rural power grid planning project and the status quo, this paper has constructed evaluation index system of the rural power grid planning project, and based on the characteristics of its particularity and indicators, established a fuzzy comprehensive evaluation model based on set pair analysis. It has carried on the comprehensive evaluation to some county in power grid planning project to verify the validity of the selected method. It will provide referential basis for the scientific decision of county power enterprises.

Study of the dynamic evaluation model of overall hydrological alteration degree based on the RVA and set pair analysis–Markov chain methods

2019 ◽  
Vol 19 (5) ◽  
pp. 1515-1524
Author(s):  
Jinping Zhang ◽  
Xin Zhang ◽  
Honglin Xiao
Keyword(s):  
Markov Chain ◽  
Evaluation Model ◽  
Stable State ◽  
Set Pair Analysis ◽  
Analytic Hierarchy ◽  
Dynamic Evaluation ◽  
Hydrological Alteration ◽  
Markov Chain Method ◽  
Range Of Variability Approach ◽  
Pair Analysis

Abstract The concept of overall hydrological alteration degree in the traditional range of variability approach is no longer suitable for the requirements of the current changing environment. First, by introducing the analytic hierarchy process and including the concept of deviation in the range of variability approach, the traditional range of variability approach is improved. Second, by using the daily flow data from the Guide gauging station in the lower reaches of Longyangxia reservoir from 1954 to 2017 and by combining the concept of connection degree in set pair analysis, a more comprehensive overall hydrological alteration degree is obtained. Finally, based on the results of overall hydrological alteration degree in each period, a dynamic evaluation model of overall hydrological alteration degree is established based on a set pair analysis–Markov chain method. The results show that the overall hydrological alteration degree of the Longyangxia reservoir in the postimpact period is at the second level; its average is −0.43, but its identity tends to increase. Furthermore, the dynamic evaluation model shows that the overall hydrological alteration degree of its stable state will be 0.1726, its impact flow changes and its stable state will be at the third level. This is a positive developing trend.

Construction Safety Evaluation Based on Extension Theory

2011 ◽  
Vol 368-373 ◽  
pp. 1273-1277
Author(s):  
Mao Sheng Yang ◽  
Lei Liu
Keyword(s):  
Evaluation Method ◽  
Safety Evaluation ◽  
Element Model ◽  
Construction Safety ◽  
Building Construction ◽  
Extension Theory ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Matter Element Model ◽  
Hierarchy Process

In order to assess the standardization of safety accurately and objectively, this paper establishes the safety evaluation index system for the building construction according to engineering experience. The weight of each index is decided reasonably by the Analytic Hierarchy Process. Based on extension theory, the evaluation matter —element model for evaluation of construction safety is established, and the extensional evaluation method with correlative functions is put forward. Thus, construction safety is systematically evaluated. Finally it verified by project example, the result proves its feasibility.

Risk Assessment of the Debris Flow Gully in Tibet Southeast by Set Pair Analysis Method

2014 ◽  
Vol 522-524 ◽  
pp. 930-934
Author(s):  
Pei Qing Wang ◽  
Jiang Xu ◽  
Wen Wu Ye ◽  
Shuai Jie Guo
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Evaluation System ◽  
Assessment Process ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Core Content ◽  
Debris Flow Disaster ◽  
Pair Analysis

Risk assessment of debris flow is the core content for debris flow disaster forecasting and prevention work. And then, risk assessment of debris flow also becomes the key method in potential debris flow hazards forecast. However, kinds of hazard-affected indictors will be referred during the risk assessment process. In this study, set pair analysis model for risk assessment of the debris flow gully in Tibet southeast is established. With the model final outputs, it can successfully solve the problem of considering all the weight values of the hazard-affected indictors in debris flow evaluation system. Finally, risk assessment of typical debris flow gullies in Tibet southeast area are conducted out by the set pair analysis model, and the model outputs also give a well agreement to the actual.

Application of Set Pair Analysis in the Material Clustering

2013 ◽  
Vol 443 ◽  
pp. 707-710
Author(s):  
Ya Feng Yang ◽  
Ai Min Yang ◽  
Huan Cheng Zhang
Keyword(s):  
Cluster Analysis ◽  
Fuzzy Set ◽  
Clustering Analysis ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Clustering Methods ◽  
Analysis Theory ◽  
Cluster Analysis Method ◽  
Pair Analysis

Based on the Set Pair Analysis theory and fuzzy set, the traditional clustering methods were taken into account from the characteristics of the forward, reverse and uncertain factors. A new cluster analysis method was proposed which allows more flexible clustering analysis. A case study in the materials clustering was carried on for the consumers to look for the most benefits in line with their own requirements.

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