A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions

被引:1
|
作者
Skare, Marinko [1 ,2 ]
Gavurova, Beata [3 ]
Polishchuk, Volodymyr [4 ]
机构
[1] Juraj Dobrila Univ Pula, Fac Econ & Tourism Dr Mijo Mirkovic, Zagrebacka 30, Pula 52100, Croatia
[2] Univ Econ & Human Sci Warsaw, Warsaw, Poland
[3] Tomas Bata Univ Zlin, Fac Management & Econ, Zlin, Czech Republic
[4] Uzhgorod Natl Univ, Fac Informat Technol, Uzhgorod, Ukraine
关键词
decision-making; feasibility of funding; hybrid data; neuro-fuzzy networks; predictive analytics; tourist infrastructure; FUZZY; SYSTEM;
D O I
10.1111/exsy.13443
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main goal of this study was to develop a hybrid decision-making support model regarding the feasibility of financing the development of tourism infrastructure of regions for V4 countries, based on the predicted assessment of the level of tourist movement in relation to the infrastructure and accessibility of the studied regions, expert opinions regarding the level of quality of tourist services and tourism development, as well as opinions of experts regarding the prospects of rapid growth of tourist movement in the region. For the first time, a hybrid fuzzy model for assessing the level of tourism quality in the region was developed, using the opinions of experts regarding the level of quality of tourist services and tourism development. For the first time, a five-layer neuro-fuzzy model was developed to derive a quantitative and linguistic assessment of the level of feasibility of financing the development of tourist infrastructure based on the experience, knowledge, and competences of experts regarding the prospects of rapid growth of tourist movement in the studied region. The research results were tested, and the developed model was verified on real data for 43 regions of the V4 countries.
引用
收藏
页数:16
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