Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples Bueno, Itzcóatl Porcel Gallego, Carlos Gustavo Herrera Viedma, Enrique Fuzzy linguistic modeling Customer opinion value Multi-Criteria Decision-Making Online customers segmentation 2-tuples model This work has been funded by the Spanish State Research Agency through the project PID2019-103880RB-I00 / AEI / 10.13039/501100011033. Customer segmentation is a key piece of a company's business strategy. This paper presents a segmentation of the online users of tourism platforms through the recency, frequency and helpfulness of the users. 2-tuples model is applied to these variables to be more precise without loss of information. In addition, the functionality of the proposal made by the authors is verified through a use case in which TripAdvisor opinioners are segmented in reference to the experience lived in hotels and tourist accommodation. 2022-04-19T11:54:08Z 2022-04-19T11:54:08Z 2022-02-03 conference output Itzcóatl Bueno... [et al.]. Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples, Procedia Computer Science, Volume 199, 2022, Pages 718-724, ISSN 1877-0509, [https://doi.org/10.1016/j.procs.2022.01.089] http://hdl.handle.net/10481/74375 10.1016/j.procs.2022.01.089 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ open access Atribución-NoComercial-SinDerivadas 3.0 España Elsevier