Publication:
A fuzzy data meta training system for ranking hub container terminals

dc.contributor.authorCaggiani, Leonardo
dc.contributor.authorIannucci, Giuseppe
dc.contributor.authorOttomanelli, Michele
dc.contributor.authorTangari, Lucia
dc.contributor.authorSassanelli, Domenico
dc.date.accessioned2012-03-14T13:22:31Z
dc.date.available2012-03-14T13:22:31Z
dc.date.issued2012-03-14
dc.description.abstractThe potential and critical aspects of any transport service can be highlighted through the estimation of appropriate performance indicators of the examined system. Commonly, container terminal analysis is based first on the evaluation and comparison of quantitative parameters that describe the level of service of the terminal and, on the other side by means of performance indicators related to terminal productivity. In this paper a Fuzzy Inference System for evaluation of a synthetic performance indicator is proposed. This tool could help planners and managers in terminals performances analysis and ranking as well as in assessing the effects of possible intervention on the systems. The proposed approach is suitable in the case of hub container ports. In fact this system is characterised by significant uncertainties and it is not always governed by certain rules, rational behaviour, so that it cannot be easily represented by traditional mathematical techniques and models. In our opinion, could be convenient to define the values of the considered parameters by explicitly define them in an approximate way, that is to say by fuzzy sets.it_IT
dc.identifier.issn1825-3997
dc.identifier.urihttp://hdl.handle.net/10077/6120
dc.language.isoenit_IT
dc.relation.ispartofseriesEuropean Transport / Trasporti Europeiit_IT
dc.relation.ispartofseries51it_IT
dc.subjectFuzzy Setsit_IT
dc.subjectContainer Terminalsit_IT
dc.subjectLevel of Serviceit_IT
dc.titleA fuzzy data meta training system for ranking hub container terminalsit_IT
dc.typeArticle
dspace.entity.typePublication
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