Abstract
In order to increase the patronage of urban transit systems, improvement of customer satisfaction is a key element. As the factors affecting urban transit ridership are several, conflicting, and incommensurable; a multi criteria decision modeling technique is needed for the analysis of these factors. Fuzzy Cognitive Mapping (FCM) is a decision-support tool which gives the researcher opportunity to model complex systems especially in network shape. A FCM can be represented as a signed digraph which consists of factors (nodes) and relations between factors (edges between nodes). value are assigned to relations to represent the strength of impact. The value of factors are updated periodically by formulating the system in an iterative process. This is helpful in giving us the ability to see the system changes caused by the changes in factors.
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Ugurlu, S., Ilker Topcu, Y. (2012). Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems. In: Kahraman, C. (eds) Computational Intelligence Systems in Industrial Engineering. Atlantis Computational Intelligence Systems, vol 6. Atlantis Press, Paris. https://doi.org/10.2991/978-94-91216-77-0_18
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DOI: https://doi.org/10.2991/978-94-91216-77-0_18
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