Climate Change Vulnerability Assessment of Cool-Season Grasslands Based on the Analytic Hierarchy Process Method

2021 ◽  
Vol 41 (3) ◽  
pp. 189-197
Author(s):  
Bae Hun Lee ◽  
Dong Won Cheon ◽  
Hyung Soo Park ◽  
Ki Choon Choi ◽  
Jeong Seop Shin ◽  
...  
Keyword(s):  
Climate Change ◽  
Analytic Hierarchy Process ◽  
Vulnerability Assessment ◽  
Cool Season ◽  
Analytic Hierarchy ◽  
Climate Change Vulnerability ◽  
Climate Change Vulnerability Assessment ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

Analytic Hierarchy Process Method Based on the Cask Theory

2015 ◽  
Vol 713-715 ◽  
pp. 1610-1614
Author(s):  
Yan Li ◽  
Xiao Dong Mu ◽  
Wei Song ◽  
Hui Wei Shi
Keyword(s):  
Expert System ◽  
Analytic Hierarchy Process ◽  
System Performance ◽  
Strong Impact ◽  
Analytic Hierarchy ◽  
Judgment Matrix ◽  
Index Value ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

When using the traditional AHP to evaluate the system,the method of endow with weight is to request expert build the judgment matrix of every hierarchies. The method is over-subjective for its overdependence on expert system. In view of this, this paper puts forward an analytic hierarchy process method based on the cask theory. This method penalizes the index whose index value is too low to having a strong impact on overall system performance. Using this method achieves the goal of reducing the subjectivity. Finally, according to the example, this method’s superiority is proved.

Fuzzy Analytic Hierarchy Process Based Reputation Evaluation for Generating Companies

2014 ◽  
Vol 556-562 ◽  
pp. 6660-6664
Author(s):  
Jun Xia Wang ◽  
Ying Yu ◽  
Xiao Hui Sun
Keyword(s):  
Analytic Hierarchy Process ◽  
Influence Factors ◽  
Power Industry ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Triangular Number ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

It is not easy to evaluate the reputation of generating companies as the influence factors are multiple, complex, and partly subjective. A fuzzy Analytic Hierarchy Process method (AHP) with a set of power industry relevant criteria is applied in this paper. The fuzzy triangular number is introduced to characterize the subjective judgment of experts, and AHP is used to deal with the multiple evaluation factors, and to calculate the relevant weights with the aid of the arithmetic laws of fuzzy triangular number. Numerical examples illustrate the effectiveness of this model.

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