FUZZY LOGIC AND ARTIFICIAL INTELLIGENCE TOOLS IN THE CONTEXT OF TOURISM ANALYSIS
Simona Hašková - Institute of Technology and Business in Ceske Budejovice, School of Expertness and Valuation, Okruzni
517/10, 37001 Ceske Budejovice, Czech Republic
Jakub Horák - Institute of Technology and Business in Ceske Budejovice, School of Expertness and Valuation, Okruzni
517/10, 37001 Ceske Budejovice, Czech Republic
DOI: https://doi.org/10.31410/tmt.2020.601
5th International Thematic Monograph - Modern Management Tools and Economy of Tourism Sector in Present Era, Belgrade, 2020, Published by: Association of Economists and Managers of the Balkans in cooperation with the Faculty of Tourism and Hospitality, Ohrid, North Macedonia; ISSN 2683-5673, ISBN 978-86-80194-42-4; Editors: Vuk Bevanda, associate professor, Faculty of Social Sciences, Belgrade, Serbia; Snežana Štetić, full time professor, The College of Tourism, Belgrade, Serbia, Printed by: SKRIPTA International, Belgrade
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.
Keywords: Decision making, Artificial neural networks, Six sigma, Forecasting, Fuzzy approach.
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satisfaction with banking services using an artificial neural network. Transformations
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application support process using Six Sigma methodology. International Journal of Lean
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uncertainty and risk. International Journal of project management, 17(4), 217-222. https://
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Jusoh, A., Mardani, A., Omar, R., Streimikiene, D., Khalifah, Z., & Sharifara, A. (2018). Application
of MCDM approach to evaluate the critical success factors of total quality management
in the hospitality industry. Journal of Business Economics and Management, 19(2),
399-416. https://doi.org/10.3846/jbem.2018.5538.
Khorsand, R., Rafiee, M., & Kayvanfar, V. (2020). Insights into TripAdvisor’s online reviews:
The case of Tehran’s hotels. Tourism Management Perspectives, 34. https://doi.org/10.1016/j.
tmp.2020.100673.
Kim, S. Y. (2018). Predicting hospitality financial distress with ensemble models: The case of
US hotels, restaurants, and amusement and recreation. Service Business, 12(3), 483-503.
https://doi.org/10.1007/s11628-018-0365-x.
Kolkova, A. (2020). The application of forecasting sales of services to increase business competitiveness.
Journal of Competitiveness, 12(2), 90-105. https://doi.org/10.7441/joc.2020.02.06.
Kuvvetli, U., & Firuzan, A. R. (2019). Applying Six Sigma in urban public transportation to
reduce traffic accidents involving municipality buses. Total Quality Management & Business
Excellence, 30(1-2), 82-102. https://doi.org/10.1080/14783363.2017.1297198.
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Spain from the end of the 19th century to 1936. Barcelona as a case study. Tourism Management,
82. https://doi.org/10.1016/j.tourman.2020.104203.
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749. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2174802.
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Journal of Lean Six Sigma, 11(1), 57-83. https://doi.org/10.1108/IJLSS-04-2018-0040.
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problems: An illustration of economic-ecological evaluation. European Journal of
Operational Research, 82(1), 79-97. https://doi.org/10.1016/0377-2217(93)E0250-2.
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study on Six Sigma. Total Quality Management & Business Excellence. https://doi.
org/10.1080/14783363.2019.1685864.
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mobile robot navigation. Computational Intelligence and Neuroscience, 2016.
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Oprime, P. C., Pimenta, M. L., Jugend, D., & Andersson, R. (2019). Financial impacts of innovation
in Six Sigma projects. Total Quality Management & Business Excellence. https://
doi.org/10.1080/14783363.2019.1641076.
Pearlman, D. M., & Chacko, H. (2012). The quest for quality improvement: Using Six Sigma at
Starwood hotels and resorts. International Journal of Hospitality & Tourism Administration,
13(1), 48-66. https://doi.org/10.1080/15256480.2012.640212.
Peregrin, J., & Svoboda, V. (2016). Logical formalization and the formation of logic(S). Logique
et Analyse, 59(233), 55-80. https://doi.org/10.2143/LEA.233.0.3149531.
Saridogan, H. O. (2020). The impacts of tourism revenues on economic growth: Unit root and
cointegration tests with structural break for Turkey. Eskisehir Osmangazi Universitesi
Iibf Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative
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