Title of article :
A decision rules approach for improvement of airport service quality
Author/Authors :
Liou، نويسنده , , James J.H. and Tang، نويسنده , , Ching-Hui and Yeh، نويسنده , , Wen-Chien and Tsai، نويسنده , , Chieh-Yuan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
8
From page :
13723
To page :
13730
Abstract :
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.
Keywords :
airports , DATA MINING , Rough set , Level of service , dominance
Journal title :
Expert Systems with Applications
Serial Year :
2011
Journal title :
Expert Systems with Applications
Record number :
2350469
Link To Document :
بازگشت