scholarly journals Optimization Model for Uncertain Statistics Based on an Analytic Hierarchy Process

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Yongchao Hou

Uncertain statistics is a methodology for collecting and interpreting the expert’s experimental data by uncertainty theory. In order to estimate uncertainty distributions, an optimization model based on analytic hierarchy process (AHP) and interpolation method is proposed in this paper. In addition, the principle of least squares method is presented to estimate uncertainty distributions with known functional form. Finally, the effectiveness of this method is illustrated by an example.

2021 ◽  
Vol 272 ◽  
pp. 02020
Author(s):  
Xiaocai Huang ◽  
Yuanfeng Shi ◽  
Ling Mao ◽  
Luyu Yang ◽  
Mohan Wang

The importance of ensuring the security of old buildings in unsatisfying and worrying safety state is definitely certain. As it is of high cost to implement comprehensive safety monitoring, it is necessary to establish an optimization model of old housing safety monitoring scheme combined with technology and economy. To obtain the relatively most efficient means of choosing specific schemes of the safety monitoring of old housing, analytic hierarchy process is selected, which is capable of reducing complexity.


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