Please use this identifier to cite or link to this item:
Title: A fuzzy data meta training system for ranking hub container terminals
Authors: Caggiani, Leonardo
Iannucci, Giuseppe
Ottomanelli, Michele
Tangari, Lucia
Sassanelli, Domenico
Keywords: Fuzzy SetsContainer TerminalsLevel of Service
Issue Date: 14-Mar-2012
Series/Report no.: European Transport / Trasporti Europei
The 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.
Type: Article
ISSN: 1825-3997
Appears in Collections:European Transport / Trasporti Europei (2012) 51/XVII

Files in This Item:
File Description SizeFormat
ET_2012_51_4 - Caggiani et al..pdf737.19 kBAdobe PDFThumbnail
Show full item record

CORE Recommender

Page view(s)

Last Week
Last month
checked on Nov 4, 2019


checked on Nov 4, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.