Customer satisfaction prediction in the shipping industry with hybrid meta-heuristic approachesCustomer satisfaction prediction in the shipping industry with hybrid meta-heuristic approaches Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2019-11-142019enOptimization and prediction of customer satisfaction in the shipping industry impacts immensely upon strategic planning and consequently on the targeted market share of a corporation. In shipping industry, accurate measures of customer satisfaction are usually very cumbersome to elaborate. In this work we aim to reveal the most effective optimization methods, employing artificial intelligence approaches such as rough sets, neural networks, advanced classification methods as well as multi-criteria analysis under a comparative framework vis-à-vis their forecasting performance.http://creativecommons.org/licenses/by/4.0/Computational Economics542647-667 Bekiros, Stelios Loukeris Nikolaos Λουκερης Νικολαος Matsatsinis Nikolaos Ματσατσινης Νικολαος Bezzina, Frank Springer Nature [academic journals on nature.com] Data mining Decision support systems Multi-criteria decision analysis Neural networks Preference models Rough sets Shipping