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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63569098" target="_blank" >RIV/70883521:28120/23:63569098 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/exsy.13443" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/exsy.13443</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/exsy.13443" target="_blank" >10.1111/exsy.13443</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Expert Systems

  • ISSN

    0266-4720

  • e-ISSN

    1468-0394

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

  • UT code for WoS article

    001058431100001

  • EID of the result in the Scopus database

    2-s2.0-85169814593