Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

Fuzzy Synthetic Evaluation on Driver's Hazard Perception

2014 ◽  
Vol 543-547 ◽  
pp. 4354-4357
Author(s):  
Ying Cheng ◽  
Lei Wang ◽  
Xian Ping Gao
Keyword(s):  
Work Experience ◽  
Evaluation System ◽  
Professional Training ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Weight Coefficient ◽  
Fuzzy Synthetic Evaluation ◽  
Hazard Perception ◽  
Driving Experience ◽  
Synthetic Evaluation

Fuzzy synthetic evaluation method is used to evaluate the drivers hazard perception., evaluation system is set up taking drivers psychological for hazard perception, the identification of hazard factor, hazard attitude as the criterion level. The indexs weight coefficient is determined by the analytic hierarchy process, and the fuzzy synthetic evaluation model is established. Through the model testing, if the driver's hazard perception ability evaluation result is good, according to the principle of maximum membership, it is shown that the driving experience, which is beneficial to the forming of the mature hazard perception psychology, the drivers hazard factors identification index deduced from the virtual scene experiment influenced the hazard perception ability deeply. Seen from the distribution of driver hazard perception level, the professional drivers and amateur drivers has the very big difference, so professional training and work experience are benefit for the driver's hazard perception ability.

Double-Layer Fuzzy Synthetic Evaluation Model of the Colour Comfort Degree in Industrial Circumstance

2012 ◽  
Vol 591-593 ◽  
pp. 2540-2544
Author(s):  
Huai Cao ◽  
Xiao Hui Wang ◽  
Fei Yi Mao ◽  
Chong Feng
Keyword(s):  
Double Layer ◽  
Evaluation System ◽  
Evaluation Model ◽  
Fundamental Principle ◽  
Grey System Theory ◽  
Fuzzy Synthetic Evaluation ◽  
Grey System ◽  
Analytic Hierarchy ◽  
New Model ◽  
Synthetic Evaluation

The color comfort degree is the fundamental principle of the color design in industrial environment. Based on the fuzzy synthetic evaluation model in fuzzy mathematics, the new model uses analytic hierarchy process to constitute a factor set which will affect the assessing of the colour comfort degree, and analyses the existing research data and applies the grey system theory when the data of some factors are insufficient, to quantify the weight and set up the change curve of the factors. By fuzzy evaluating the comfort degree of each factor with the data on the curve, the new model reduces the subjective judgments in the evaluation model and updates to a more objective and accurate evaluation system-the double-layer fuzzy synthetic evaluation model.

Performance Evaluation of Energy Saving and Emission Reduction

2013 ◽  
Vol 664 ◽  
pp. 1171-1175
Author(s):  
Wei Sun
Keyword(s):  
Energy Conservation ◽  
Energy Saving ◽  
Clustering Analysis ◽  
Emission Reduction ◽  
Evaluation System ◽  
Evaluation Model ◽  
Strategic Issues ◽  
Evaluation Indicator ◽  
Fuzzy Clustering Analysis ◽  
Conservation Efficiency

Energy saving and emission reduction are becoming strategic issues in China. Evaluation indicator of energy conservation efficiency and emission reduction is established in the paper. Fuzzy clustering analysis is used to build the evaluation model of energy conservation efficiency and emission reduction in the paper. The case is analyzed in the paper. It shows that the evaluation system of energy saving and emission reduction is scientific and objective.

Fuzzy Synthetic Evaluation of Power Quality Based on Combination Weighting Method

2011 ◽  
Vol 201-203 ◽  
pp. 2470-2475
Author(s):  
Yuan Sheng Huang ◽  
Li Ming Yuan
Keyword(s):  
Power Quality ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Weight Coefficient ◽  
National Standard ◽  
Fuzzy Synthetic Evaluation ◽  
Entropy Weight ◽  
Weighting Method ◽  
Evaluation Indexes ◽  
Synthetic Evaluation

According to the national standard, this paper presents the evaluation indexes of power quality and the classifications of each index. The method integrates advantages of both G1 and entropy weight coefficient method. Also, it establishes an fuzzy synthetic evaluation for power quality evaluation by fuzzy theory. 5 observation points on the power quality was graded. The test shows that the combination weighting evaluation model based on fuzzy synthetic evaluation can evaluate the power quality comprehensively and effectively.

Method of Parallel System Performance Evaluation Based on Multi-Level Fuzzy Synthetic Evaluation Model

2011 ◽  
Vol 301-303 ◽  
pp. 1202-1207
Author(s):  
Xue Mei Hou ◽  
Lei Yu ◽  
Zhi Bo Li ◽  
Zhu Ping Du ◽  
Bai You Lian
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Hot Spot ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Parallel System ◽  
Fuzzy Synthetic Evaluation ◽  
Multi Level ◽  
System Performance Evaluation ◽  
Synthetic Evaluation

Nowadays, the parallel system performance evaluation is the hot spot topic. It’s helpful to improve the parallel system performance to establish a scientific evaluation model. In this paper, using of analytic hierarchy process and the fuzzy mathematics theory, the multi-level fuzzy synthetic evaluation model is established, the performance index system is defined and the parallel system performance evaluation process is realized.

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