Fuzzy logic approach in the modeling of sustainable tourism development management

• Autorzy: Ziyadin Sayabek , Borodin Alex , Streltsova Elena , Suieubayeva Saltanat , Pshembayeva Dolores

Identyfikatory

DOI

10.17512/pjms.2019.19.1.37

Warianty tytułu

PL

Podejście rozmyte w modelowaniu zarządzania rozwojem zrównoważonej turystyki

• Języki publikacji: EN

Abstrakty

EN

The paper proposes an economic and mathematics models of sustainable tourism development strategic management based on application of fuzzy algebra mathematical apparatus. The conducted research is built, starting from the formulation of strategic management of sustainable tourism development concept and ending with the creation of economic and mathematics models of decision support. A mathematical model that supports decision making in the evaluation of sustainable development of tourist and recreational areas was developed based on the use of mathematical apparatus of fuzzy inference. The model is built in Fuzzy Logic Toolbox environment of MATLAB and allows selecting strategic reference points for sustainable tourism development with the combination of the results of economic benefits with environmental and social indicators.

PL

W artykule zaproponowano ekonomiczne i matematyczne modele strategicznego zarządzania rozwojem zrównoważonej turystyki oparte na zastosowaniu aparatu matematycznego algebry rozmytej. Przeprowadzone badania zbudowane zostały począwszy od sformułowania strategicznego zarządzania koncepcją zrównoważonego rozwoju turystyki, a skończywszy na tworzeniu ekonomicznych i matematycznych modeli wspomagania decyzji. Opracowano model matematyczny wspierający podejmowanie decyzji w zakresie oceny zrównoważonego rozwoju terenów turystycznych i rekreacyjnych w oparciu o zastosowanie aparatu matematycznego wnioskowania rozmytego. Model został zbudowany w środowisku Fuzzy Logic Toolbox w MATLAB i pozwala na wybór strategicznych punktów odniesienia dla zrównoważonego rozwoju turystyki dzięki połączeniu wyników korzyści ekonomicznych ze wskaźnikami środowiskowymi i społecznymi.

Słowa kluczowe

EN

fuzzy algebra; sustainability; social indicators; tourism industry; fuzzy inference

PL

algebra rozmyta; trwałość; wskaźniki społeczne; przemysł turystyczny; wnioskowanie rozmyte

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2019
• Tom: Vol. 19, No. 1
• Strony: 492--504
• Opis fizyczny: Bibliogr. 26 poz., tab.

Twórcy

autor

Ziyadin Sayabek

• al-Farabi Kazakh National University, Almaty, Kazakhstan

autor

Borodin Alex

• Plekhanov Russian University of Economics, National Research University Higher School of Economics, Moskva, Russia

autor

Streltsova Elena

• South Russian State Technical University (NPI), Novocherkassk, Russia

autor

Suieubayeva Saltanat

• D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan

autor

Pshembayeva Dolores

• Kazakh humanitarian-law innovative university, Semey, Kazakhstan

Bibliografia

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• 2. Badulescu D., Badulescu A., 2017, Rural Tourism Development through Cross-border Cooperation. The Case of Romanian-Hungarian Cross-border Area, “Eastern European Countryside”, 23(1).
• 3. Benítez J.M., Martín J.C., Roman C., 2007, Using fuzzy number for measuring quality of service in the hotel industry, “Tourism Management”, 28.
• 4. Buckley R., 2012, Sustainable tourism: Research and reality, “Annals of Tourism Research”, 39(2).
• 5. Chou T.-Y., Hsu C.-L., Chen M.-C., 2008, A fuzzy multi-criteria decision model for international tourist hotels location selection, “International Journal of Hospitality Management”, 27.
• 6. Coppi R., 2003, The fuzzy approach to multivariate statistical analysis, [In:] Probabilità e Statistiche Applicate, Sapienza Università di Roma Rome, Italy.
• 7. Coppi R., Giordani P., D’Urso P., 2006, Component models for fuzzy data, “Psychometrika”, 71(4).
• 8. CoR, 2018, Sustainable Tourism as a Cohesion Factor in the European Region.
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• 20. Sabden O., Turginbayeva A., 2017, Transformation of National Model of Small Innovation Business Development, “Academy of Entrepreneurship Journal”, 23(2).
• 21. Sanna U., Atzeni C., Spanu N., 2008, A fuzzy number ranking in project selection for cultural heritage sites, “Journal of Cultural Heritage”, 9.
• 22. Shaikh A.A., Glavee-Geo R., Karjaluoto H., 2017, Exploring the nexus between financial sector reforms and the emergence of digital banking culture - Evidences from a developing country, “Research in International Business and Finance”, 42.
• 23. Streltsova E.D., Bogomyagkova I.V., Streltsov V.S., 2016, Modeling tools of interbudgetary regulation for mining areas, “Scientific Bulletin of National Mining University”, (4).
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).