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Advances in Fuzzy Systems - Volume 2014 2014, Article ID 201243, 12 pages -

Research ArticleDepartment of Civil Engineering, Energy, Environment and Materials, Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, Italy

Received 11 March 2014; Accepted 19 May 2014; Published 17 July 2014

Academic Editor: Francesco Carlo Morabito

Copyright © 2014 Maria Nadia Postorino and Mario Versaci. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Airport classification is a common need in the air transport field due to several purposes—such as resource allocation, identification of crucial nodes, and real-time identification of substitute nodes—which also depend on the involved actors’ expectations. In this paper a fuzzy-based procedure has been proposed to cluster airports by using a fuzzy geometric point of view according to the concept of unit-hypercube. By representing each airport as a point in the given reference metric space, the geometric distance among airports—which corresponds to a measure of similarity—has in fact an intrinsic fuzzy nature due to the airport specific characteristics. The proposed procedure has been applied to a test case concerning the Italian airport network and the obtained results are in line with expectations.





Autor: Maria Nadia Postorino and Mario Versaci

Fuente: https://www.hindawi.com/



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