A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value
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AuthorBueno, Itzcóatl; Carrasco, Ramón A.; Porcel Gallego, Carlos Gustavo; Kou, Gang; Herrera Viedma, Enrique
Bueno, I., Carrasco, R. A., Porcel, C., Kou, G., & Herrera-Viedma, E. (2021). A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value. Applied Soft Computing, 101, 107045. [https://doi.org/10.1016/j.asoc.2020.107045]
SponsorshipSpanish State Research Agency PID2019-103880RB-I00/AEI/10.13039/501100011033 TIN2016-75850-R; National Natural Science Foundation of China (NSFC) 71725001 71910107002; State key R&D Program of China 2020YFC0832702; Major project of the National Social Science Foundation of China 19ZDA092
a consequence of the exponential growth in online data, tourism sector has experimented a radical transformation. From this large amount of information, opinion makers can be benefited for decision making in their purchase process. However, it can also harm them according to the information they consult. In fact, being benefited or harmed by the information translates into greater or lesser satisfaction after the purchase. This will largely depend on the published opinions that they take into account, which in turn depend on the value of the opinioner who publishes said information. In this paper, the authors propose a methodology that integrates multiple decision-making techniques and with which it is intended to obtain a ranking of hotels through the opinions of their past clients. To do this, the customer value is obtained using the Recency, Frequency, Helpfulness model. The information about the users found in the social networks is managed and aggregated using the fuzzy linguistic approach 2-tuples multi-granular. In addition, we have verified the functionality of this methodology by presenting a business case by applying it on TripAdvisor data.