Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight

1994 ◽  
Vol 62 (2) ◽  
pp. 127-134 ◽  
Author(s):  
Don-Lin Mon ◽  
Ching-Hsue Cheng ◽  
Jiann-Chern Lin
2013 ◽  
Vol 397-400 ◽  
pp. 2667-2671 ◽  
Author(s):  
Hai Dong ◽  
Sheng Nv Wang

For green logistics, entropy fuzzy analytic hierarchy process is applied to evaluate its cost management. Firstly, based on the theory of environment resources value, the composition of green logistics cost is put forward. Then, a green logistics costs management evaluation system is established. Based on the dynamic uncertainty of environment cost index, entropy fuzzy analytic hierarchy process is applied to evaluate it. Finally, the entropy weight fuzzy analytic hierarchy process is reasonable and effective for green logistics cost management by numerical examples.


2013 ◽  
Vol 477-478 ◽  
pp. 836-839
Author(s):  
Peng Qin ◽  
Zhe Yu Zhang ◽  
Zhi Hai Qin ◽  
Jian Fen Zhou

The post evaluation of Water Project in Xiasha district is taken as the object of study.The social influence of the project is evaluated from different parts according to the fuzzy analytic hierarchy process. Subjective and objective weights are combined to form the combined weight,taking the minimum information entropy as a tool.The fuzzy AHP comprehensive evaluation model of Water Project social influence in XiashaDistrict, which is based on entropy weight, is set up.The calculation result shows that the method is effective because the analysis result of the model, the project construction and environment characteristics achieve the basic agreement.


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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