Abstract
This chapter presents the results obtained by employing both fuzzy logic and sensitivity analysis to model trip generation and trip distribution processes in the domain of air transportation. Qualitative and imprecise information taken from experts represent an invaluable source when objective knowledge on certain process is not available or even does not exist. Thus, fuzzy logic is seen as a convenient mathematical tool that efficiently treats uncertainty in-built in the socio-economic parameters that are selected to describe trip generation and trip distribution problem. The chapter analyzes the sensitivity of fuzzy system solutions obtained by two models in respect to different factors such as domain discretization of input and output variables, various forms of membership function and different approximate reasoning techniques hereby enabling possible improvements to the models.
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Acknowledgments
This research has been supported by the Ministry of Science and Technological Development, Republic of Serbia, as part of the project TR36033 (2011–2014).
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Kalić, M., Dožić, S., Kuljanin, J. (2014). The Fuzzy System Sensitivity Analysis: An Example of Air Travel Demand Models. In: de Sousa, J., Rossi, R. (eds) Computer-based Modelling and Optimization in Transportation. Advances in Intelligent Systems and Computing, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-319-04630-3_27
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DOI: https://doi.org/10.1007/978-3-319-04630-3_27
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