Cable and Busbar State in Switchgear Based on Fuzzy Comprehensive Evaluation Algorithm

Author(s):  
Gao Caixia ◽  
Yu Qiongxia ◽  
Wang Fuzhong
2014 ◽  
Vol 644-650 ◽  
pp. 2194-2197
Author(s):  
Jie Yao ◽  
Zhao Lin Wu ◽  
Zhi Yuan Xu ◽  
Yu Qing Ren

The safety evaluation of fishing vessels is a system and uncertain problem. A fishing vessel safety evaluation algorithm based on cloud model was proposed in this paper. Firstly, we established index system and weights by the AHP; Secondly, the cloud generator completed the conversion between qualitative and quantitative indicators; Thirdly, the evaluation cloud model was achieved by the comprehensive cloud algorithm; Finally, the forward cloud generator restored the droplet distribution. Compared with the fuzzy comprehensive evaluation method, the experimental results show that our work is effective and accurate.


2012 ◽  
Vol 203 ◽  
pp. 479-483
Author(s):  
Yong Jun Sun ◽  
Yi Qu

This paper, in accordance with the maintenance capacity of “Man-Machine System”, holds the core of the “Man-Machine System” and employs the analysis methods of the complex system, brings forward the model of the three-layer comprehensive evaluation based on fuzzy mathematics, then brings out the methods of the index weight and studies the maintenance capacity’s evaluation algorithm on the foundation of the quantitative analysis. In the last it gives the application of the model and algorithm by using the instances and studies the changing maintenance capacity including the stability and the undulation, which provides one thought for scientifically evaluating the maintenance capacity of “Man-Machine System”.


2014 ◽  
Vol 536-537 ◽  
pp. 1726-1728
Author(s):  
You Liang Jia

University human resources management is an important part of school management. To summarize, teachers can be managed through a set of scientific and effective method to strengthen the school connotation of the construction of the strategic target. For numerous schools, facing more challenge and competition, in the "survival of the fittest", the "fittest" under the natural law of survival and development, to learn the advanced management experience and management technology, has become urgent and important task of school. In the center of the "people-oriented", "humanistic management" of today, human resource management has become an important factor of success of the school connotation development. Evaluation model is widely used in our common life, which can undertake assessment of a decision and personnel factors, and assessment or evaluation algorithm types are also abundant, including the factor method, fuzzy comprehensive evaluation [, the analytic hierarchy process (ahp), and some algorithm based on artificial intelligence (ai), all these algorithms are effective to solve part of the problem domain. The evaluation of teachers' professional ability involve more factors, including some subjective factors, such as personal moral, lifestyle, ambition, etc., and some objective factors such as working length of service users, specialty, education, scientific research, honors won, etc. If we only use the grade staff to do so, the measurement result of a grade may be affected because of personal emotions, and if we simply evaluate from the objective factors, which may lead to stylized, strengthening the results, lighting the evaluation of the masses .So for teachers' evaluation, we do from these two aspects at the same time, setting subjective and objective factors according to each assessment scheme. For subjective factors, we invite the marker personnel to score by our measurement system based on the subjective factors of scores, and for the objective factors, automatic gradings of staff are done according to the set of weights of objective factors, score, and accumulative number of grading in the scheme of the measurement. We adjust the proportion according to the previous results, as well as the evaluation scheme, to get the sorting and evaluating list of the measured personnel.


2011 ◽  
Vol 63-64 ◽  
pp. 944-947
Author(s):  
Fei Long Chen

This article embarks from the connotation of supply chain performance and its evaluation indexes’ present research situation, selects the key indexes of supply chain performance evaluation, constructs indexes system of supply chain performance evaluation, and uses fuzzy comprehensive evaluation algorithm to make appraisal on the key indexes. Finally through computation and analysis of specific cases to show this appraisal method is helpful for enterprise improving their overall supply chain performance.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shu Ji ◽  
Sang-Bing Tsai

In this paper, the fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation effectively and provides a feasible and convenient English teaching quality evaluation system by combining quantitative evaluation with objective index data. Firstly, the English teaching quality evaluation model is constructed based on the fuzzy comprehensive evaluation analysis method and the weight values of each factor are calculated; secondly, the three types of data in the model are processed separately. This includes standardizing the data of objective indicators such as students’ course grades and weakening the influence of course difficulty on this indicator. The fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation to make the calculated comprehensive evaluation of English teaching quality more comprehensive and objective; then the comprehensive calculation of English teaching quality evaluation is completed, and the English teaching quality evaluation model is constructed by extracting keywords based on the qualitative evaluation; finally, a runnable English teaching quality evaluation system is designed and implemented. A fuzzy comprehensive evaluation algorithm based on improved bat algorithm optimization is proposed. The algorithm uses the improved fuzzy comprehensive evaluation algorithm to optimize the initial clustering centers and adopts a new objective function to guide the clustering process, thus improving the clustering quality of the fuzzy comprehensive evaluation algorithm. Comparative analysis through models shows that the improved algorithm improves the clustering accuracy to a certain extent when compared with the traditional fuzzy comprehensive evaluation clustering algorithm for analysis. The bat algorithm is one of the stochastic global optimization models. It can take advantage of the group, integrate global search and local search, and achieve rapid convergence. Therefore, it plays an important role in optimizing the evaluation of English teaching quality. This study enriches the theoretical study of English teaching quality evaluation to a certain extent and can play a role in strengthening and improving English teaching quality evaluation at the present stage.


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