Comprehensive Evaluation of Machinabilities of Dental Ceramics

2010 ◽  
Vol 434-435 ◽  
pp. 69-71
Author(s):  
Cheng Zhang ◽  
Ji Lu ◽  
Hui Huang

Machinability of ceramics is a comprehensive behavior resulting from the interactions of several factors. In this paper, the fuzzy comprehensive evaluation system was applied to establish a model for machinabilities of several dental ceramics, including zirconia, empress feldspar, empress toughening leucite and lithium disilicate glass. The hardness (HV), fracture toughness (KIC) and elastic modulus (E) of ceramic samples were used in evaluation model with different weighted indexes. The ceramics could be thus divided into 4 groups of “easiest”, “easy”, “difficult” and “most difficult”, based on evaluated results. Lithium disilicate glass belongs to “easiest”, empress feldspar and empress toughening leucite are at the “easy” level, and zirconia is “difficult” to be machined compared with other counterparts. The evaluations by established model are well supported by the practical machining experiments while these dental ceramics being undergone cutting. This implies that the derived evaluation model is an easy and simple way to estimate machinability of dental ceramics.

2012 ◽  
Vol 157-158 ◽  
pp. 706-709
Author(s):  
Zhi Jun Wei

Based on the characteristics of the large state-owned central enterprises, this paper refers to an index system which can be used for evaluating their social responsibility fulfillment degree. It includes several procedures, such as determining each index weight by using G1 method, constructing a fuzzy comprehensive evaluation model, and verifying the feasibility through applying to an example. This research has effect on the scientificity of assessing their social responsibility fulfillment, and helps government and society to supervise and control the enterprises.


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.


2013 ◽  
Vol 303-306 ◽  
pp. 1452-1455 ◽  
Author(s):  
Shu Wen Sun ◽  
Yu Wen Zhai

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Dao-yuan Wang ◽  
Yong-quan Zhu ◽  
Guang-yao Cui ◽  
Yong-jun Luan ◽  
Hai-long Cui ◽  
...  

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.


2011 ◽  
Vol 66-68 ◽  
pp. 631-636
Author(s):  
Ye Zhou ◽  
Zhi Song Ye ◽  
Yun Zhu Wang

The low-carbon economy becomes a hot issue in every country after Copenhagen’s meeting, and Logistics enterprise is an important economic entity to achieve a low carbon economy, so how to effectively evaluate the effect of logistics enterprises and low-carbon benefits of emission reduction become a problem that really needed to solve. Therefore, it evaluated the effects of low-carbon benefits of logistics respectively from the economic benefits, logistics operational efficiency and CO2 emission reduction by AHP. Based on it, logistics enterprise evaluation model of low-carbon benefits was built in the way of fuzzy comprehensive evaluation, and finally verified the effectiveness of the evaluation system with a case.


2013 ◽  
Vol 732-733 ◽  
pp. 782-788
Author(s):  
Jing Hao Chen ◽  
Wen Ying Liu ◽  
Wei Zheng ◽  
Chen Liang

A model for optimally evaluating grid short-circuit current limitation measures is proposed. Based on the fuzzy comprehensive evaluation model, a comprehensive evaluation system is introduced to consider the limiting effect and economy of the limiting measures configure program, also the program's impact on system security is involved. A judgment matrix is constructed to determine the weights of different system layers. With fuzzy behavior indices and membership function being led into, the evaluation of configuration program is given. Taking Gansu power grid for example, the feasibility and practicality of the proposed model are verified by simulation results.


2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li

In the paper, we establish an evaluation system in the study of four aspects such as people, regulation, equipment and technology management, field management and engineering construction. We present an entropy weight multi-level fuzzy comprehensive evaluation model in power plant security on the basis of reliability identification. Firstly, it identifies the reliability of power plant security evaluation system. Secondly, it can meet the condition that the system is reliable. Then it obtains the indicator weight of all levels in the evaluation system by the entropy weight method. Finally, it carries out a comprehensive evaluation in power plant security by the multi-level fuzzy evaluation method.


2013 ◽  
Vol 300-301 ◽  
pp. 640-644 ◽  
Author(s):  
Dong Xiao Niu ◽  
Jin Peng Liu ◽  
Tong Liu ◽  
Hao Chi Guo

The construction engineering of smart grid is the key plan for the electricity grid development of China. To build a strong smart grid has been the main goal for the development of regional grid, thus, it is of great significance to study on the smartness level of regional grid. This paper establishes a comprehensive evaluation system for the regional grid development level; analyzes from aspects of safety, economy, quality, and efficiency. A hierarchical optimized combination evaluation model is proposed, and its progressiveness and applicability are verified. The study provides theoretical basis and practical evidence for judging the development level of regional smart grid construction of China from an overall and multi-angle perspective.


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