Study on a Grinding Quality Assessing Method Based on Fuzzy Decision Combined with Analytic Hierarchy Process (AHP)

2007 ◽  
pp. 543-547
Author(s):  
Xiao Long Shi ◽  
Gui Jie Liu ◽  
Qiang Wang ◽  
Ren Ke Kang
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Assessing Method ◽  
Hierarchy Process

Fuzzy Decision of Antiquated Buildings Demolition Method

2013 ◽  
Vol 838-841 ◽  
pp. 2768-2772
Author(s):  
Xu Kuo Gao ◽  
Qiong Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Optimal Choice ◽  
Fuzzy Analytic Hierarchy Process ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Optimization System ◽  
Comparison And Analysis ◽  
Set Up ◽  
Hierarchy Process

The article discussed the demolition way of antiquated buildings and the influencing factors of strategy optimization, and then it set up the index optimization system, using fuzzy analytic hierarchy process (FAHP) to determine the demolition scheme for the antiquated buildings, and ultimately selected the optimal way. Through comparison and analysis, selective demolition is the optimal choice in the demolition process of the antiquated buildings.

Study on a Grinding Quality Assessing Method Based on Fuzzy Decision Combined with Analytic Hierarchy Process (AHP)

2007 ◽  
Vol 359-360 ◽  
pp. 543-547
Author(s):  
Xiao Long Shi ◽  
Gui Jie Liu ◽  
Qiang Wang ◽  
Ren Ke Kang
Keyword(s):  
Analytic Hierarchy Process ◽  
Influence Factors ◽  
Grinding Process ◽  
Fuzzy Synthetic Evaluation ◽  
Analytic Hierarchy ◽  
Evaluation Theory ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Assessing Method ◽  
Hierarchy Process

The grinding quality assessing is a complex decision-making process, which must optimize and balance multi-influence factors. A grinding quality assessing method based on fuzzy synthetic evaluation theory combined with analytic hierarchy process (AHP) is presented in this paper, and used to quality assessing for grinding process. The result of analyzing example indicates that this method can be used to estimate grinding quality based on the monitoring result of grinding process and grinding condition, and to assist grinding worker to select optimum grinding parameters for the steady grinding quality.

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