Customers satisfaction in shipping enterprises of maritime cabotage with artificial intelligence and multicriteria decision analysis methods
Authors: Loukeris, Nikolaos 
Issue Date: 1-Dec-2009
Book: Proceedings of the 13th WSEAS International Conference on Computers - Held as part of the 13th WSEAS CSCC Multiconference 
Keywords: Data mining, Multicriteria analysis, Neural networks, Rough sets, Shipping
Abstract: 
Prediction of customers satisfaction effects strategic planning, defining the market share of the enterprise. In shipping, measurements of satisfaction are very difficult to elaborate, thus satisfaction's prediction provides valuable information. Previous research in the field used techniques of multicriteria analysis, data mining and analytical-synthetical preference models. This research aims to define the most effective method to predict satisfaction, between techniques of data mining, rough sets, neural networks and multcriteria decision analysis.
ISBN: 978-960-474-099-4
URI: https://uniwacris.uniwa.gr/handle/3000/2203
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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