Construction of the Evaluation Model of University Specialty Status Based on Hierarchical Dynamic Grey Correlation Analysis

This paper proposes an improved evaluation model combining grey correlation analysis and AHP method that measures the safety performance of construction site. The safety assessment index system was established relating the actual condition of construction site. The weight of each assessment index was calculated through AHP model which use in grey correlation analysis for breaking through the limitations of conventional method. Then, the grey correlation degree was obtained through calculating the weighted means of grey correlation coefficient, and then, the rank of safety performance level of construction sites was determined. Through this improvement, the assessment results can be more scientific and functional. The effectiveness of our methodology was verified with an empirical study. The results show that this method can be an effective tool to predict the safety performance of construction projects sites, which is useful to reduce the occurrence of the construction safety misadventure.

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Course Evaluation Model and its Application Based on Grey Correlation Analysis Method

Advanced Engineering Forum ◽

10.4028/www.scientific.net/aef.6-7.730 ◽

2012 ◽

Vol 6-7 ◽

pp. 730-735

Author(s):

Tao Wang ◽

Zheng Tang

Keyword(s):

Correlation Analysis ◽

Euclidean Distance ◽

Evaluation Model ◽

Optimal Solution ◽

Course Evaluation ◽

Analysis Method ◽

Grey Correlation ◽

Actual Use ◽

Grey Correlation Analysis ◽

Correlation Analysis Method

Combining ideal solving method and Euclidean distance, the article constructs a new course evaluation model based on grey correlation analysis method. First, idealizes and standardizes the quantitatively treated evaluation indicators, constructs positive and negative incidence matrix. Then, defines grey correlation distance degree, puts forward an evaluation way close to the optimal solution and far from the worst one. At last, introduces the actual use of model by combining a course evaluation, and tests its accuracy and feasibility.

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A cost-effectiveness assessment model using grey correlation analysis for power transformer selection based on life cycle cost

Kybernetes ◽

10.1108/k-07-2013-0160 ◽

2014 ◽

Vol 43 (1) ◽

pp. 5-23 ◽

Cited By ~ 6

Author(s):

Yiyi Zhang ◽

Ruijin Liao ◽

Lijun Yang ◽

Xiaopin Deng ◽

Huanchao Cheng ◽

...

Keyword(s):

Cost Effectiveness ◽

Correlation Analysis ◽

Life Cycle Cost ◽

Power Transformer ◽

Evaluation Model ◽

Content Type ◽

Grey Correlation ◽

Investment Program ◽

Investment Evaluation ◽

Grey Correlation Analysis

Purpose – Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer is full of uncertainty as it is hard to obtain accurate and useful cost-effectiveness results. Therefore, the purpose of the paper is to establish an investment evaluation model. Design/methodology/approach – The cost-effectiveness evaluation model in this study used grey correlation analysis for the power transformer selection based on life cycle cost (LCC). Indices of cost and effectiveness factors were chosen to form a three-level index system including quantitative and qualitative factors. Evidential reasoning was applied to quantify the qualitative indexes. Grey correlation analysis was applied to select the best investment program. Findings – The results from this study show that the proposed approach is effective and offers a new approach to evaluating transformer investment. Practical implications – The model was applied to an investing decision-making problem of the transformer in a new substation in Wuhan, China. Originality/value – It is very important to select the best transformer program in the candidate investment programs because the investment program decides almost 70 percent of the LCC of the power transformer.

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