Study on Fuzzy Comprehensive Evaluation Model of Printing Quality Based on AHP Method

2010 ◽  
Vol 174 ◽  
pp. 243-246 ◽  
Author(s):  
Jun Wang ◽  
Tie Feng Zhang ◽  
Xiang Yi Guan

A fuzzy comprehensive evaluation model of printing quality was established by using the method of fuzzy evaluation and analytical hierarchy process(AHP).The main parameters which influence printing quality were analyzed. The factor set to constitute fuzzy comprehensive evaluation was confirmed. The structure of analytical hierarchy was established by analyzing different plans, which influences printing quality evaluation. Comparison judgment matrixes were constructed by pairwise comparison of each factor using Saaty 1-9 scales. The weights of every factor were determined by calculating the feature vectors of comparison judgment matrixes and the consistency test. Finally the printing quality hierarchy was evaluated by using fuzzy comprehensive evaluation and according to maximum membership principle. The result indicated that the model objectively determined the weights of parameters which influence printing quality, subjectively evaluated the printing quality hierarchy, and realized the unification of subjective evaluation and objective evaluation.

2014 ◽  
Vol 687-691 ◽  
pp. 206-211
Author(s):  
Wei Dong Zheng ◽  
Pei Hong Wang

In order to evaluate the performance of regenerative heater comprehensively and scientifically, the fuzzy comprehensive evaluation model of regenerative heater is proposed on the basis of fuzzy mathematic theory as well as the relevant background knowledge of the problem. In the fist-level fuzzy comprehensive evaluation model, the evaluation indicator system was established taking the influence of the turbine load into consideration. The definition of “excellence degree” was given to show the relative approach degree between the quantitative indicator and the excellent indicator. Membership functions of fuzzy evaluation set were constructed based on the excellence degree. Knowledge in terms of twenty experts’ experience and historical data was used to determine the indicator weight set. In the second-level indicator fuzzy comprehensive evaluation model, four composition operator models were selected to conduct the fist-level evaluation. The proposed model turns out to be feasible and effective by three typical load conditions.


2013 ◽  
Vol 869-870 ◽  
pp. 281-287
Author(s):  
Yao Nan Li ◽  
Guo Zhong Ma

The paper discusses the definition of interval number and basic algorithm. It also described the problem of interval ranking and introduced interval-valued fuzzy comprehensive evaluation model. The model is more suitable for evaluation of many factors, weight distribution than the uniform case.Interval-valued fuzzy comprehensive evaluation model to judge the field of driver traffic safety behavior. According to literature reviews to establish the evaluation index system and set .Then determine the weight of different factors and required basic data by the expert scoring. Finally, the results of the evaluation model is excellent.The application examples explain that the method can effectively reduce the loss of information which with good results.


2011 ◽  
Vol 211-212 ◽  
pp. 600-604 ◽  
Author(s):  
Zhen Ya Wang ◽  
Xiao Yan Cong ◽  
Yan Dong Wang

This paper applied Fuzzy set theory to the comfort evaluation of construction machinery cab. Fuzzy comprehensive evaluation model, evaluation indexes set and comment set are built up. A relatively objective conclusion to an excavator cab’s comfort is obtained by calculation. This study puts forward a strict accurate handling ways to solve fuzzy phenomena in subjective evaluation of construction machinery cab’s comfort.


2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.


2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi

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.


Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society”. Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less. To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory. In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic. The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective. This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value.


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