Vessel Traffic System Project Post Evaluation Method Based on Cloud Model

2014 ◽  
Vol 687-691 ◽  
pp. 1528-1531 ◽  
Author(s):  
Zhi Yuan Xu ◽  
Zhao Lin Wu ◽  
Jie Yao ◽  
Yu Qing Ren

Post evaluation is necessary for assess the success degree of a new system. A vessel traffic system project post evaluation method based on cloud model is presented. Firstly, we created the post evaluation index system and weight; Secondly, the expert scored the indexes and then cloud models were achieved; Thirdly, the comprehensive cloud algorithm calculated the result; Finally, the forward cloud generator restore the droplets distribution. The experimental result shows that the method is effective and intuitive.

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Ke Yin

In order to improve the effectiveness and accuracy of effectiveness evaluation for the physical protection system of a high security prison, this paper analyzed factors affecting the evaluation of such a system and, on this basis, applied the cloud theory and constructed a cloud model for evaluating the effectiveness of such a system. A case study was used to discuss the risk controllability of such a system with the evaluation method based on the cloud model. The research results show that the cloud model that we constructed for effectiveness evaluation can greatly reduce the influence of subjective factors in the risk evaluation for the physical protection system of a high security prison through the setting, calculation, and analysis of relevant parameters and we found that it is more accurate and practically useful especially when it is used in the evaluation together with the fuzziness and randomness of qualitative linguistic concepts.


2013 ◽  
Vol 437 ◽  
pp. 1038-1045
Author(s):  
Bin Bin Tang ◽  
Bao Chen Liu ◽  
Zhi Hua Deng

The environmental post evaluation index system is proposed to evaluate the cascade hydropower project`s post environmental impact assessment. We also constructed an evaluation method based on Matter-element and Analytic-hierarchy coupling model (FME-AHP) to apply to the environmental impact assessment of Yuan Shui cascade hydropower stations. It can test the index system and evaluation method is scientific and validity or not. We hope we can provide some experience and reference for the environmental impact assessment of the hydropower exploitation in key river basin both in China and abroad.


Author(s):  
Laihong Du ◽  
Hua Chen ◽  
Yadong Fang

AbstractTo solve the problem of ergonomic evaluation of suit production system, a hybrid method of IAHP and gray entropy theory is proposed. Firstly, literature reviews for ergonomics evaluation tools and techniques are introduced. Furthermore, ergonomic evaluation index system of suit operation is established according to production practice. Besides, a comprehensive evaluation models process of gray entropy and IAHP is introduced. Finally, a detailed evaluation process of suit sewing, ironing and clipping operation is introduced by an example, and the results show that the evaluation method of the paper is helpful to verify the feasibility and effectiveness of the operation system improvement demonstration.


2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Xiaohong Zhu ◽  
Jianhong Jia ◽  
Zhongwei Cai

In order to study the fracture ability classification of rock mass under the cracking action of supercritical CO2 phase transition, based on the classification theory of rock mass in blasting engineering, an analytic hierarchy process (AHP)-entropy weight method (EWM) and the cloud model classification method for rock mass cracking under CO2 phase transformation are proposed. In this method, rock density, rock tensile strength, rock wave impedance, and rock mass integrity coefficient are used as the factors to determine the level of rock mass fracturing, and the evaluation index system of rock mass fracturing is established. Through this evaluation method, the rock mass in a reconstruction project section of Nyingchi, Tibet, is classified and evaluated. The results present that this new classification method of rock mass fracture ability uses AHP–EWM to carry out the weight distribution of the classification index. In addition, it is combined with the cloud model for the classification division, overcoming the traditional classification method fixed with appraisal pattern flaw. Therefore, it has validity and feasibility. According to the characteristics of fracture ability, the rock masses in the area to be rebuilt on the Tibet Highway are divided into grade II, grade III, and grade IV, which provides scientific guidance for the construction of the project.


2021 ◽  
Author(s):  
Laihong Du ◽  
Hua Chen ◽  
Yadong Fang

Abstract To solve the problem of ergonomic evaluation of suit production system, a Hybrid method with IAHP and gray entropy theory is proposed. Firstly, literature review about ergonomics evaluation tools and technology is introduced. Furthermore, the ergonomic evaluation index system of suit operation is established according to production practice. Besides, comprehensive evaluation model process with gray entropy and IAHP is introduced. Finally, detailed evaluation process of suit sewing, ironing and clipping operation is introduced by an example, and the results show that the evaluation method in the paper is helpful to verify the feasibility and effectiveness of the operation system improvement demonstration.


2021 ◽  
pp. 1-14
Author(s):  
Fuwei Liu ◽  
Yansen Wang

The freezing pipe fracture can cause freezing wall to thaw and even lead to major accidents such as mine flooding easily, which seriously threatens the safety in construction. Therefore, scientific and effective comprehensive risk assessment for freezing pipe fracture is of great significance. In this work, a risk assessment method is put forward based on improved AHP-Cloud model with 19 evaluation indicators. First, the multi-dimension evaluation index system and evaluation model are established, on the basis of in-depth analysis of the risk factors that may lead to accidents. Second, synthesizing the normalization process and the improved analytic hierarchy process (AHP), the evaluation grade cloud and comprehensive evaluation cloud of freezing pipe fracture can be acquired by using the forward cloud generator. Finally, According to the max-subjection principle and the comprehensive evaluation method, we obtain the risk level of freezing pipe fracture. The model is applied to Yangcun Coal Mine. It has been verified that the risk assessment problem of freezing pipe fracture in freezing sinking can be successfully solved by the model we proposed. Above all, the study offers a new research idea for the risk management of freezing pipe fracture in freeze sinking.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tian Xu ◽  
Zhanping Song ◽  
Desai Guo ◽  
Yuncai Song

This study presents a cloud model-based approach for risk assessment of existing tunnels in tunneling construction environments where the cloud model provides a basis for uncertainty transformation between its qualitative concepts and quantitative expressions. An evaluation index system is established for risk assessment of existing tunnels based on the tunnel-induced failure mechanism analysis. The assessment result is obtained through the correlation with the cloud model of each risk level. Risk assessment for existing Guangzhou-Shenzhen-Hong Kong Railway Tunnel in the tunneling environment of Shenzhen Metro Line 6 is shown in a case study. Comparisons between Fuzzy Analytic Hierarchy Process (FAHP) methods are further discussed according to results. The proposed evaluation method is verified to be more competitive as the fuzziness and randomness of uncertainties in the risk assessment system can be considered comprehensively. This method can serve as a decision-making tool for other similar project risk assessment methods to increase the likelihood of a successful project in an uncertain environment.


2013 ◽  
Vol 411-414 ◽  
pp. 2258-2264
Author(s):  
Li Min Tao ◽  
Xi Kun Liang

Customer satisfaction is an important index to measure the enterprise product and service quality, customer satisfaction evaluation of e-commerce enterprises is an important part of its overall assessment. In this paper, starting from the customer satisfaction, evaluation index system is established; the evaluation model of electronic commerce enterprise based on cloud model is constructed, customer satisfaction is made a scientific comprehensive evaluation. Compared with the traditional method of qualitative evaluation, qualitative evaluation method based on cloud model is practical, and the result is intuitive, comprehensive and profound, more in line with the actual situation.


Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1491
Author(s):  
Pan Guo ◽  
Xiaofeng Li ◽  
Yanlin Jia ◽  
Xu Zhang

The evaluation of entrepreneurs’ uncertainty tolerance (UT) is more meaningful, e.g., predicting their behaviors, making psychological counseling strategies for them, etc. In fact, it is an uncertain problem that simultaneously contains randomness and fuzziness in evaluating entrepreneurs’ UT. Hence, it is difficult to solve it by traditional evaluation methods. This paper presents a cloud model-based comprehensive evaluation method for entrepreneurs’ UT which overcomes the inability of other methods to take into account randomness and fuzziness simultaneously. First, five UT levels are divided. Then, an evaluation index system which contains 14 secondary level indexes and four primary level indexes is constructed, and an analytic hierarchy process (AHP) method is used to obtain the weights for the secondary level indexes. Subsequently, the backward cloud generator (BCG) and virtual cloud model (CM) are used to obtain the CM of evaluation indexes, and cloud chart of evaluation results are generated by forward cloud generator (FCG). Finally, five core start-up founders of a high-tech company in China are chosen for a case study to illustrate our method. Compared with other traditional evaluation methods, our method has been verified to be a more competitive method. Its results are more visualized and low information lost.


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