A decision rules approach for improvement of airport service quality

被引：57
作者：
Liou, James J. H. [1 ]
Tang, Ching-Hui [2 ]
Yeh, Wen-Chien [2 ]
Tsai, Chieh-Yuan [3 ]
机构：
[1] Natl Taipei Univ Technol, Dept Ind Engn & Management, Taipei 106, Taiwan
[2] Kainan Univ, Dept Air Transportat, Luchu 338, Taoyuan County, Taiwan
[3] Yuan Ze Univ, Dept Ind Engn & Management, Chungli 320, Taoyuan County, Taiwan
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 11期
关键词：
Dominance; Rough set; Level of service; Airports; Data mining; ROUGH; LEVEL;
D O I：
10.1016/j.eswa.2011.04.168
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The passenger's perception of the airport's level of service (LOS) may have a significant impact on promoting or discouraging future tourism and business activities. In this study, we take a look at this problem, but unlike in traditional statistical analysis, we apply a new method, the dominance-based rough set approach (DRSA), to an airport service survey. A set of "if ... then ... " decision rules is used in the preference model. The passengers indicate their perception of airport LOS by rating a set of criteria/attributes. The proposed method provides practical information that should be of help to airport planners, designers, operators, and managers to develop LOS improvement strategies. The model was implemented using survey data from a large sample of customers from an international airport in Taiwan. (C) 2011 Elsevier Ltd. All rights reserved.
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页码：13723 / 13730
页数：8
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