“Applications of Intelligent Systems in Tourism: Relevant Methods“
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Date
2023-01-28Author(s)
Sánchez-Ancajima, Raúl A.
Jiménez-Carrión, Miguel
Gutierrez, Flabio
Hermenegildo-Alfaro, Adriel O.
Saavedra-López, Miguel A.
Hernández, Ronald M.
Exebio Moya, Luis Reynaldo
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“This article presents a literature review of Intelligent Systems applications in Tourism in different
parts of the world. The review focuses on the most relevant methods in free and paid databases, in
English and Spanish. Most of the works deal with methodologies based on artificial intelligence,
such as expert systems, fuzzy logic, machine learning, data mining, neural networks, genetic
algorithms. In the review, several characteristics of the systems have been taken into account, such
as, knowledge base, actors in the operation of the system, types of tourists, usefulness or not in space
and time. According to the review it was found that most of the researches are deterministic models,
the most used methodology in tourism are the expert systems based on rules, observing an emerging
innovation in metaheuristics, mainly genetic algorithms and intelligent systems with knowledge
base based on optimization methods for route choice or optimal visit plan. It is expected that this
work serves to give a general perspective on the application of intelligent systems in the area of
tourism, as well as a work that consolidates background for work in this area of research. “
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