scholarly journals Comprehensive Evaluation of Loess Collapsibility of Oil and Gas Pipeline Based on Cloud Theory

2021 ◽  
Author(s):  
Xiaohui Liu ◽  
Manyin Zhang ◽  
Zhizhong Sun ◽  
Yimin Zhang
Keyword(s):  
Evaluation System ◽  
Oil And Gas ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Golden Section ◽  
Evaluation Process ◽  
Scientific Basis ◽  
Gas Pipeline ◽  
Scoring Method ◽  
Cloud Theory

Abstract The comprehensive evaluation of pipeline loess collapsibility risk is a necessary means to grasp the safety risks of pipelines in the collapsible loess section, and it is also one of the key scientific basis for risk prevention, control and management. The comprehensive evaluation system of cloud theory consists of quantitative and qualitative indexes, and the evaluation system has the characteristics of randomness and fuzziness. Aiming at the problem that the common qualitative and semi-quantitative evaluation methods have strong subjectivity in dealing with the uncertainty problems such as randomness and fuzziness of the system, the cloud theory, which can effectively reflect the randomness and fuzziness of things at the same time, is introduced, and the state scale cloud and index importance weight cloud of pipeline loess collapse risk are constructed by golden section method. The uncertainty cloud reasoning process of the quantitative indexes and the expert scoring method of the qualitative indexes are proposed. The comprehensive evaluation model of loess collapsibility risk of oil and gas pipeline is established and the engineering example is analysed. The comprehensive evaluation results of 10 samples to be evaluated are basically consistent with the results of semi-quantitative method, and are consistent with the actual situation. The evaluation process softens the hard division of index boundary, simplifies the index data pre-processing, realizes the organic integration of quantitative and qualitative, integrated decision-making, and improves the accuracy, rationality and visualization of the results.

scholarly journals Comprehensive evaluation of loess collapsibility of oil and gas pipeline based on cloud theory

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaohui Liu ◽  
Manyin Zhang ◽  
Zhizhong Sun ◽  
Huyuan Zhang ◽  
Yimin Zhang
Keyword(s):  
Evaluation System ◽  
Oil And Gas ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Golden Section ◽  
Evaluation Process ◽  
Gas Pipeline ◽  
Scoring Method ◽  
Complete Evaluation ◽  
Cloud Theory

AbstractThe comprehensive evaluation of pipeline loess collapsibility risk is a necessary means to control the safety risks of pipelines in the collapsible loess section. It is also one of the critical scientific bases for risk prevention, control, and management. The comprehensive evaluation system of cloud theory consists of quantitative and qualitative indexes, and the evaluation system has the characteristics of randomness and fuzziness. In view of this problem, the standard qualitative and semi-quantitative evaluation methods have intense subjectivity in dealing with the uncertainty problems such as randomness and fuzziness of the system, the cloud theory, which can effectively reflect the randomness and fuzziness of things at the same time, is introduced. The state scale cloud and index importance weight cloud of pipeline loess collapse risk are constructed by the golden section method. The uncertainty cloud reasoning process of the quantitative indexes and the expert scoring method of the qualitative indexes are proposed. The comprehensive evaluation model of loess collapsibility risk of oil and gas pipeline is established, and the engineering example is analyzed. The complete evaluation results of 10 samples to be evaluated are consistent with the results of the semi-quantitative method and are compatible with the actual situation. The evaluation process softens the subjective division of index boundary, simplifies the preprocessing of index data, realizes the organic integration of quantitative and qualitative decisions, and improves the accuracy, rationality, and visualization of the results.

Research on Comprehensive Evaluation of Service Capability of the Third-Party Logistics Suppliers with AHP and Gray Entropy Theory

2021 ◽  
Author(s):  
Jun Li ◽  
Xuhua Pan ◽  
Mingxiao Li ◽  
Gang Wang ◽  
Zhixin Zhang
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Third Party ◽  
Third Party Logistics ◽  
Comprehensive Service ◽  
Service Capability ◽  
Capability Evaluation

To solve the problem of third-party logistics (3PL) evaluation and selection, a hybrid method with AHP and gray theory is proposed. First, the literature review about the 3PL evaluation method and technology is introduced. Furthermore, TPL comprehensive service capability evaluation system is established from aspects of service, time, cost and enterprise qualification. Besides, a comprehensive evaluation model process with gray entropy and AHP is introduced. Finally, a detailed evaluation process of 3PL supplier service capability in F company is introduced by an example, and the results show that the evaluation method in the paper is helpful to choose the TPL for logistics outsourcing.

Condition Assessment of Wind Turbine Based on Cloud Model

2013 ◽  
Vol 448-453 ◽  
pp. 3327-3330 ◽  
Author(s):  
Yu Song ◽  
Jian Mei Zhang
Keyword(s):  
Wind Turbine ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Evaluation Model ◽  
Comprehensive Evaluation Method ◽  
Variable Weight ◽  
Quantitative Indicators ◽  
Cloud Theory

In order to detection wind turbine equipment and accurately assess the the equipments condition, this paper combines cloud theory, and propose a new comprehensive evaluation method about wind turbine operating status. Use AHP to establish wind turbine evaluation system, and taking advantage of variable weight mode correct quantitative indicators right weight. Adopt Cloud model function represent the indicator data, and establish improved evaluation model, finally, an example verify the effectiveness of the method.

scholarly journals Aircraft Cockpit Ergonomic Layout Evaluation Based on Uncertain Linguistic Multiattribute Decision Making

2014 ◽  
Vol 6 ◽  
pp. 698159 ◽  
Author(s):  
Junxuan Chen ◽  
Suihuai Yu ◽  
Shuxia Wang ◽  
Zhengze Lin ◽  
Guochang Liu ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Information Interaction ◽  
Multiple Attribute ◽  
Machine Layout ◽  
Low Efficiency ◽  
Attribute Combination

In the view of the current cockpit information interaction, facilities and other characteristics are increasingly multifarious; the early layout evaluation methods based on single or partial components, often cause comprehensive evaluation unilateral, leading to the problems of long development period and low efficiency. Considering the fuzziness of ergonomic evaluation and diversity of evaluation information attributes, we refine and build an evaluation system based on the characteristics of the current cockpit man-machine layout and introduce the different types of uncertain linguistic multiple attribute combination decision making (DTULDM) method in the cockpit layout evaluation process. Meanwhile, we also establish an aircraft cockpit ergonomic layout evaluation model. Finally, an experiment about cockpit layout evaluation is given, and the result demonstrates that the proposed method about cockpit ergonomic layout evaluation is feasible and effective.

Fuzzy Comprehensive Evaluation of Human Performance Management

2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi
Keyword(s):  
Performance Management ◽  
Evaluation System ◽  
Human Performance ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Process ◽  
College Performance ◽  
Performance Evaluation System ◽  
Comprehensive Evaluation Model

In the College, performance evaluation system is directly related to the harmonious development of the school. Taking into account the factors in the evaluation system is fuzzy, so this paper uses fuzzy comprehensive evaluation model. But the model is too subjective, so this paper combines neural network and data envelopment analysis method, which ensures that fuzzy comprehensive evaluation model is reasonable and scientific, and good school development and teacher self-interest. The performance assessment process, not only enables the combination of qualitative and quantitative analysis, but also fair and reasonably reflect the achievements of teachers, while this method is easy to use, wide application, and can be well applied in practice.

scholarly journals Responsive Dashboard as a Component of Learning Analytics System for Evaluation in Emergency Remote Teaching Situations

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7998
Author(s):  
Emilia Corina Corbu ◽  
Eduard Edelhauser
Keyword(s):  
Online Education ◽  
Learning Analytics ◽  
Evaluation System ◽  
Online Courses ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Educational Process ◽  
Study Objective ◽  
Teachers And Students ◽  
The Evaluation System

The pandemic crisis has forced the development of teaching and evaluation activities exclusively online. In this context, the emergency remote teaching (ERT) process, which raised a multitude of problems for institutions, teachers, and students, led the authors to consider it important to design a model for evaluating teaching and evaluation processes. The study objective presented in this paper was to develop a model for the evaluation system called the learning analytics and evaluation model (LAEM). We also validated a software instrument we designed called the EvalMathI system, which is to be used in the evaluation system and was developed and tested during the pandemic. The optimization of the evaluation process was accomplished by including and integrating the dashboard model in a responsive panel. With the dashboard from EvalMathI, six online courses were monitored in the 2019/2020 and 2020/2021 academic years, and for each of the six monitored courses, the evaluation of the curricula was performed through the analyzed parameters by highlighting the percentage achieved by each course on various components, such as content, adaptability, skills, and involvement. In addition, after collecting the data through interview guides, the authors were able to determine the extent to which online education during the COVID 19 pandemic has influenced the educational process. Through the developed model, the authors also found software tools to solve some of the problems raised by teaching and evaluation in the ERT environment.

Model Research on Comprehensive Efficiency Evaluation of Heating Reconstruction Project

2013 ◽  
Vol 805-806 ◽  
pp. 1593-1597
Author(s):  
Ze Hong Li ◽  
Xiao Dan Zhang
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Social Benefit ◽  
Scientific Basis ◽  
Evaluation Index System ◽  
Environmental Benefit ◽  
Benefit Evaluation ◽  
Comprehensive Benefit ◽  
Project Construction ◽  
Reconstruction Project

Combined heat and power generation is also called the heating reconstruct project, comprehensive benefit evaluation of heating reconstruction project provide a more scientific basis for project construction and project operation, strengthen scientificalness for decision-making , avoid investing blindly and improve investing returns of the project. To begin with, it is emphasize on the analysis of the project whole, and then established evaluation index system and comprehensive evaluation model based on financial and non-financial data collecting of the project. At the third, evaluating the financial feasibility, project environmental benefit and social benefit evaluation of the heating reconstruction project. Eventually, it comes to a conclusion for a validation of heating reconstruction project feasibility.

The Application of Fuzzy Comprehensive Evaluation Model in the Teaching Evaluation System

2013 ◽  
Vol 303-306 ◽  
pp. 1452-1455 ◽  
Author(s):  
Shu Wen Sun ◽  
Yu Wen Zhai
Keyword(s):  
Evaluation System ◽  
Online Teaching ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Evaluation ◽  
Comprehensive Evaluation Method ◽  
Time Control ◽  
Control Change

According to the subjectivity, randomness and fatigue of the satisfaction selection of online teaching evaluation indicators for the students, the level of teachers teaching can not truly measure by the evaluation results. This paper introduces the fuzzy comprehensive evaluation method to deal with the evaluation data, and Practice has proved that this method produced results more equitable to reflect on teaching level. Which help teachers to promptly improve and improve teaching, the variable quality of teaching time control for process control, change the static management for dynamic management.

scholarly journals Study on the Intelligent Evaluation System of Tunnel Frost Damage in Cold Regions Based on the Fuzzy Comprehensive Evaluation Model

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Dao-yuan Wang ◽  
Yong-quan Zhu ◽  
Guang-yao Cui ◽  
Yong-jun Luan ◽  
Hai-long Cui ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Frost Damage ◽  
Cold Regions ◽  
Research Results ◽  
Comprehensive Evaluation Model ◽  
Tunnel Design

At present, the tunnel design specifications in China do not provide a clear and systematic intelligent evaluation system of tunnel frost damage in cold regions. Based on the research results of 122 seasonal frozen soil tunnels in high-latitude areas of China, four key influencing factors of geohydrology, temperature, surrounding rock, and engineering measures were determined, the intelligent fuzzy comprehensive evaluation model was established, the weights of all factors were considered, and the intelligent evaluation technology system of tunnel frost damage in cold areas had been put forward. Meanwhile, the rationality of the intelligent model was verified by a specific engineering case. The research suggests that the intelligent evaluation model of tunnel frost damage proposed in this paper can accurately describe the relationship of influencing factors of tunnel frost damage in cold areas, the weight of each influencing factor is calculated by using analytic hierarchy process, and the main risk sources of tunnel frost damage in cold areas are found out. The intelligent evaluation model is an efficient and practical method for Intelligent prediction of frost damage. By using the subordinate function method, the improvement from qualitative analysis to quantitative index calculation is realized. The blindness of engineering analogy construction is avoided, and the scientificity and accuracy of renovation measures for frost damage have been improved. At the same time, the research results provide a theoretical basis for the improvement of the intelligent evaluation system of tunnel frost damage in cold regions.

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

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