Study on Gray Correlation Analysis Model for Anti-Fatigue Entropy-AHP Weight Parts

2016 ◽  
Vol 693 ◽  
pp. 1498-1502
Author(s):  
W.Q. Li ◽  
Y.Z. Wang ◽  
R. Feng
Keyword(s):  
Correlation Analysis ◽  
Least Square Method ◽  
Least Square ◽  
Assessment Model ◽  
Analysis Model ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Gray Correlation ◽  
Gray Correlation Analysis ◽  
Set Up

In this paper, we set up a comprehensive assessment model to choose “best all time college coach” in the last century by combining Analytic Hierarchy Process with Gray Correlation Analysis. Taking the effect of time line horizon into consideration, we introduce Entropy weight approach into our model by Least Square Method and Linear Programming.

Application of Improved Gray Correlation Analysis Model to the Estimation of Country Rock Stability

2012 ◽  
Vol 594-597 ◽  
pp. 28-32
Author(s):  
Jin Sheng Lei ◽  
Lei Bao ◽  
Liang Wen ◽  
Jian Fei Chen
Keyword(s):  
Correlation Analysis ◽  
Country Rock ◽  
Quality Standard ◽  
Analysis Model ◽  
Underground Engineering ◽  
Surface Strength ◽  
Rock Stability ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Gray Correlation Analysis

The estimation of country rock stability in underground engineering is the important basis for carrying out engineering design and formulating corresponding engineering measures. The interval form of quality standard, the value of resolution coefficient ρ and the weight of correlation degree are seldom takend consideration by the traditional gray correlation analysis model, an improved gray correlation analysis model is used to analyze the five indices of influencing the country rock stability: rock quality designation RQD, moisture compressive strength Rw, integrity coefficient Kv, structure surface strength coefficient Kf, groundwater seepage measurement W/L. The results show that the improved correlation analysis model is superior in its objectivity and applicability as well as certain practical value in evaluating country rock stability or other evaluation problems.

scholarly journals Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health

2020 ◽  
Vol 17 (7) ◽  
pp. 2555 ◽  
Author(s):  
Qingwei Xu ◽  
Kaili Xu ◽  
Fang Zhou
Keyword(s):  
Safety Assessment ◽  
Cloud Model ◽  
Least Square Method ◽  
Assessment Method ◽  
Employee Health ◽  
Least Square ◽  
Entropy Weight ◽  
Safety Level ◽  
Cause And Effect ◽  
Assessment Approach

Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objective entropy weight method respectively. Then, to obtain the preference coefficient of the integrated weight more precisely, a new algorithm was proposed based on the least square method. Next, the safety level of the casting workshop was presented based on the qualitative and quantitative analysis of the cloud model, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account; the validity of cloud model evaluation was validated by grey relational analysis. In addition, cause and effect was used to proactively identify factors that may lead to accidents. LOPA was used to correlate corresponding safety measures to the identified risk factors. 6 causes and 19 sub-causes that may contribute to accidents were identified, and 18 potential remedies, or independent protection layers (IPLs), were described as ways to protect employee health in foundry operations. A mechanical manufacturing business in Hunan, China was considered as a case study to demonstrate the applicability and benefits of the proposed safety assessment approach.

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