To Be Presented in the 11th Asian Technology Conference in Mathematics
December 12-16, 2006, Hong Kong SAR, China

Evaluating Airport Services Using Fuzzy Approximate Reasoning

Ku Ruhana Ku-Mahamud
Faculty of Information Technology
Universiti Utara Malaysia

Mahmod Othman
Universiti Teknology Malaysia


This paper presents a model that incorporates fuzzy sets and approximate reasoning to determine the ranking of fourteen airports based on their services. Airport services were represented by six attributes namely comfort, processing time, convenience, courtesy of staff, information visibility and security. Data for the attributes given by travel experts are in the triangular fuzzy number form. This study enables the inclusion of requirements which are incomplete and imprecise and decision making in the subjective environment. The use of fuzzy rules which are extracted directly from input data in making evaluation, contributes a better decision in selecting the best choice and is less dependent on the domain of expert. Experimental results show that the proposed model is comparable to previous study. The model has been implemented using C++ programming language and is suitable for various fuzzy environments.

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