Bid Evaluation System of Construction Project Based on Multi-level Fuzzy Synthetic Evaluation Model

2010 ◽  
Author(s):  
Xie Benzheng ◽  
Sun Zheng
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Construction Project ◽  
Fuzzy Synthetic Evaluation ◽  
Multi Level ◽  
Bid Evaluation ◽  
Synthetic Evaluation

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.

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.

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.

scholarly journals Construction practice of student evaluation system based on JFinal + webix integrated framework and Baidu AI platform

2021 ◽  
Vol 336 ◽  
pp. 05016
Author(s):  
Zhan Gao ◽  
Zhihai Suo ◽  
Jun Liu ◽  
Mo Xu ◽  
Dandan Hong ◽  
...  
Keyword(s):  
Evaluation System ◽  
Student Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Integration Framework ◽  
Online Student ◽  
Evaluation Of Teaching ◽  
Multi Level ◽  
Level Student ◽  
Construction Practice

Students' evaluation of teaching is a key link to realize teaching quality monitoring and promote teachers' teaching level. Based on the practice of student evaluation in our university, this paper constructs a multi-level student evaluation system, and develops an online student evaluation system by using JFinal+webix integration framework. The new Internet plus evaluation model is established to improve the efficiency of student evaluation and the enthusiasm of students to evaluate teaching. Meanwhile, based on the analysis of students' comments on teaching by Baidu AI platform, It provides data support for the improvement of learning level and the optimization of teaching evaluation.

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.

Entropy Weight Multi-Level Fuzzy Comprehensive Evaluation in Power Plant Security Based on Reliability Identification

2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li
Keyword(s):  
Power Plant ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Security Evaluation ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Multi Level

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.

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