Applications of Intelligent Systems in Tourism: Relevant Methods

Sánchez-Ancajima R.A.; Jiménez-Carrión M.; Gutierrez F.; Hermenegildo-Alfaro A.O.; Saavedra-López M.A.; Hernández R.M.; Moya L.R.E. · Journal of Internet Services and Information Security (2023) · DOI: 10.58346/jisis.2023.i1.006

Resumen

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.

Instituciones: Universidad Científica del Sur; Universidad Nacional de Piura; Universidad Continental; Universidad Nacional de Tumbes; Universidad Privada Norbert Wiener