Airport classification is a common need in the air transport field due to several purposesââ?¬â?such as resource allocation, identification\nof crucial nodes, and real-time identification of substitute nodesââ?¬â?which also depend on the involved actorsââ?¬â?¢ expectations. In this\npaper a fuzzy-based procedure has been proposed to cluster airports by using a fuzzy geometric point of view according to the\nconcept of unit-hypercube. By representing each airport as a point in the given reference metric space, the geometric distance\namong airportsââ?¬â?which corresponds to a measure of similarityââ?¬â?has in fact an intrinsic fuzzy nature due to the airport specific\ncharacteristics. The proposed procedure has been applied to a test case concerning the Italian airport network and the obtained\nresults are in line with expectations.
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