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ÇóÈóÉ«Ð޸ģ¬×î½üÄÔ×ÓÓе㽬ºýÁË¡£¡£±Ò²»¶àÁË£¬¶¼ÄóöÀ´ÁË£¬¼ûÁ£¡ Abstract£ºThe paper is aimed at presenting a new support capability evaluation method for airport passenger security check system based on Fuzzy-ANP. Because of the uncertainty in the evaluation process and interdependence among influence factors of the indicator system, system evaluation model is established by utilizing fuzzy analytic network process. The article has detailed descriptions on the use of ANP combined with fuzzy theory. First of all, the fuzzy theory is introduced to solve the uncertainty problem. The fuzzy theory includes triangular fuzzy number representing for uncertain information, calculation of fuzzy comprehensive degree and weight vector based on triangular fuzzy number. Secondly, the weight matrix of criterion layer and indicator layer are provided by establishing fuzzy judgment matrix. Besides, super matrix of the second level indicator has been worked out by integrating sub-weight matrix. At last, convergent matrix of the second level indicator¡¯s weighting super matrix is figured out by the iteration process of weighting matrix. After that, we conclude with the rank of factors influencing airport passenger security check system. In the study case, the support capability evaluation indicator system is established by synthetically considering security influence factors. By analyzing a certain airport, the result shows that main factors influencing system support capability is workload, psychology status of workers and equipment perfectness ratio. Consequently, in order to improve the capability of security check, the airport should pay attention to workload, psychologic status of security check inspector, and the insure rate of equipment in good condition. The study demonstrates that system support capability evaluation method not only meets the need of the safety control reality, but also provides more accurate and effective evaluations than the traditional ones. |
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doxerman
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liufuao: ½ð±Ò+11, ·ÒëEPI+1, ¡ï¡ï¡ïºÜÓаïÖú 2013-10-08 10:07:47
liufuao: ½ð±Ò+11, ·ÒëEPI+1, ¡ï¡ï¡ïºÜÓаïÖú 2013-10-08 10:07:47
| Abstract£ºThis paper aimed at presenting a new evaluation method of support capability for airport passenger security check system based on Fuzzy-ANP. Due to the uncertainty in the evaluation process and interdependence among influence factors of the indicator system, the evaluation system model is established by utilizing fuzzy analytic network process. This thesis elaborate on the use of ANP combined with fuzzy theory. firstly,by introducing the fuzzy theory to solve the uncertainty issue,it includes triangular fuzzy number representing uncertain information, calculation of fuzzy comprehensive degree and weight vector based on triangular fuzzy number. Secondly, the weight matrix of criterion layer and indicator layer are provided by establishing fuzzy judgment matrix. Besides, super matrix of the second level indicator has been worked out by integrating sub-weight matrix. At last, convergent matrix of the second level indicator¡¯s weighting super matrix is figured out by the iteration process of weighting matrix. Subsequently, the rank of factors that influencing airport passenger security check system was concluded. In this case, the support capability evaluation indicator system is established by synthetically considering security influence factors. Through the analysis of a airport, the result shows that the main factors influencing the support capability system are workload, psychology status of workers and equipment perfectness ratio. Consequently, in order to improve the capability of security check, the airport should pay attention to workload, psychologic status of security check inspector, and equipment running in good condition. This study reveal that evaluation system of support capability method not only meets the requirements of the safety control , but also provides with more accurate and effective evaluations than the traditional ones. |
2Â¥2013-10-06 22:53:52
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3Â¥2013-10-07 08:33:17













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