Fuzzy Logic and Artificial Intelligence Tools in the Context of Tourism Analysis

Abstract

Qualitative and quantitative approaches to multicriteria evaluation and managerial decision- making often ignore the specifics of the role of the human factor. This article summarizes management methods that reflect not only numerical inputs but also data of a qualitative nature while considering their applicability in the tourism sector. Some of them can be assorted within the classes of Artificial intelligence. The focus is on the fuzzy approach at the theoretical and application level. The fuzzy approach is used to evaluate the degree of country travel and tourism competitiveness of selected European and Asian countries based on subjective rankings from the viewpoint of travelling persons. The results indicate that among countries under review, China is ranked as a highly competitive country in travel & tourism. Conditional competitive countries in terms of travel & tourism are the Czech Republic, Pakistan, Russia, and Turkey.

Multi-Criteria Analysis of Sustainable Travel and Tourism Competitiveness in Europe and Eurasia

“…It was shown that natural attractions, accessibility and port infrastructure, lodging options, and a destination's reputation are the most crucial factors. Subjective rankings of travelers were utilized by Hašková and Horák [54] to determine the level of travel and tourism competitiveness of a country using the fuzzy technique. According to the findings, China has a very high level of competition in the travel and tourist industry compared to the other nations analyzed.…”