A Geometric Fuzzy-Based Approach for Airport Clustering
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2014/201243 |
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| _version_ | 1832563409049092096 |
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| author | Maria Nadia Postorino Mario Versaci |
| author_facet | Maria Nadia Postorino Mario Versaci |
| author_sort | Maria Nadia Postorino |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1c88819bff0140908941d62c0b0fff53 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-1c88819bff0140908941d62c0b0fff532025-02-03T01:20:15ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2014-01-01201410.1155/2014/201243201243A Geometric Fuzzy-Based Approach for Airport ClusteringMaria Nadia Postorino0Mario Versaci1Department of Civil Engineering, Energy, Environment and Materials, Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, ItalyDepartment of Civil Engineering, Energy, Environment and Materials, Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, ItalyAirport 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.http://dx.doi.org/10.1155/2014/201243 |
| spellingShingle | Maria Nadia Postorino Mario Versaci A Geometric Fuzzy-Based Approach for Airport Clustering Advances in Fuzzy Systems |
| title | A Geometric Fuzzy-Based Approach for Airport Clustering |
| title_full | A Geometric Fuzzy-Based Approach for Airport Clustering |
| title_fullStr | A Geometric Fuzzy-Based Approach for Airport Clustering |
| title_full_unstemmed | A Geometric Fuzzy-Based Approach for Airport Clustering |
| title_short | A Geometric Fuzzy-Based Approach for Airport Clustering |
| title_sort | geometric fuzzy based approach for airport clustering |
| url | http://dx.doi.org/10.1155/2014/201243 |
| work_keys_str_mv | AT marianadiapostorino ageometricfuzzybasedapproachforairportclustering AT marioversaci ageometricfuzzybasedapproachforairportclustering AT marianadiapostorino geometricfuzzybasedapproachforairportclustering AT marioversaci geometricfuzzybasedapproachforairportclustering |