Forecasting the success of a new tourism service by a neuro-fuzzy technique

DOI10.1016/j.ejor.2018.01.044zbMath1403.90400OpenAlexW2789699924MaRDI QIDQ1754371

Constantin Zopounidis, George S. Atsalakis, Ioanna G. Atsalaki

Publication date: 30 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.01.044

zbMATH Keywords

fuzzy setsartificial intelligenceneuro-fuzzy systemsANFIStourism service forecasting

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Management decision making, including multiple objectives (90B50)

Related Items (1)

AI-based competition of autonomous vehicle fleets with application to fleet modularity

Cites Work

• Evaluation of new service development strategies using multicriteria analysis: predicting the success of innovative hospitality services
• Improving the accuracy of expert predictions of the future success of new internet services
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