| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Loukeris, Nikolaos | - |
| dc.date.accessioned | 2024-04-22T12:04:21Z | - |
| dc.date.available | 2024-04-22T12:04:21Z | - |
| dc.date.issued | 2009-12-01 | - |
| dc.identifier | scopus-75149174427 | - |
| dc.identifier.isbn | 978-960-474-099-4 | - |
| dc.identifier.other | 75149174427 | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2203 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Proceedings of the 13th WSEAS International Conference on Computers - Held as part of the 13th WSEAS CSCC Multiconference | en_US |
| dc.subject | Data mining | en_US |
| dc.subject | Multicriteria analysis | en_US |
| dc.subject | Neural networks | en_US |
| dc.subject | Rough sets | en_US |
| dc.subject | Shipping | en_US |
| dc.title | Customers satisfaction in shipping enterprises of maritime cabotage with artificial intelligence and multicriteria decision analysis methods | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.scopus | 2-s2.0-75149174427 | - |
| dcterms.accessRights | 0 | en_US |
| dc.relation.dept | Department of Business Administration | en_US |
| dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
| dc.identifier.spage | 639 | en_US |
| dc.identifier.epage | 645 | en_US |
| dc.link | https://www.wseas.org/multimedia/books/2009/rodos/COMPUTERS.pdf | en_US |
| dc.collaboration | University of West Attica (UNIWA) | en_US |
| dc.subject.field | Engineering and Technology | en_US |
| dc.journals | Subscription | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.country | Greece | en_US |
| local.metadatastatus | verified | en_US |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.openairetype | Conference Paper | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Department of Business Administration | - |
| crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
| crisitem.author.orcid | 0000-0002-1891-8245 | - |
| crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
| Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου | |
CORE Recommender
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.