scholarly journals An Assessment Model of National Grants of University Based on Fuzzy Analytic Hierarchy Process

2016 ◽  
Vol 7 ◽  
pp. 09005 ◽  
Author(s):  
Yang Xia ◽  
Cheng-Gang Jiang
2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.


2010 ◽  
Vol 121-122 ◽  
pp. 80-86
Author(s):  
Zhi Yu ◽  
Xiang Xu ◽  
Xian Jie Wu

Aiming at the problem of complexity and uncertainty factors existing in network security risk assessment process, an analysis method based on Fuzzy Analytic Hierarchy Process is proposed in this paper. By the theory of fuzzy mathematic, this method establishes the network risk assessment model and constructs fuzzy judgment matrix to determine index weight of each level factor. The example of calculation results shows that the method is feasible and effective.


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


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