A fuzzy model for assessing the level of tourist traffic in relation to infrastructure and accessibility

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Поліщук І. В., Polishchuk V. V., Повханич В. І. № 1 (66) 104-116 Image Image

In the work, a model of fuzzy logical inference of the level of travel satisfaction in relation to infrastructure and accessibility is constructed. For this purpose, the following information model of criteria for assessing the level of tourist traffic in relation to infrastructure and accessibility is developed; a fuzzy logic inference model of travel satisfaction levels relative to expected and actual experiences from infrastructure and accessibility.

The research is based on the apparatus of fuzzy sets, fuzzy logic, and intellectual analysis of knowledge, which allows increasing the degree of validity of final management decisions. The value of the model is that it takes into account the expert assessments of positive and negative aspects of infrastructure, external and internal accessibility at the destination; formal logic based on the psychology of the participants of the tourist traffic regarding the expected and real experience. Based on the quantitative assessment of the level of tourist traffic, it is possible to analyse the situation in tourism, by region, to make decisions on improving the quality of the infrastructure, the satisfaction of the participants and the development of the regions.

The advantages of a fuzzy model for assessing the level of tourist traffic in relation to infrastructure and accessibility in regions derive from the fact that the sets and groups of criteria of the information model are open, the model does not depend on their number, and system analysts can always expand the set of criteria depending on the available expert assessments; the model makes it possible to understand the content of the studied region through the prism of the level of travel satisfaction relative to the expected and real experience from infrastructure and accessibility, in the space of evaluations; the fuzzy model reveals the uncertainty of the input expert evaluations with the help of a fuzzy logical conclusion regarding the logic of the psychological properties of the individual’s behaviour by introducing thresholds α,β.

Keywords: fuzzy sets, regional tourism, decision support system, expert evaluations, fuzzy logic, intellectual analysis of knowledge.

doi: 10.32403/1998-6912-2023-1-66-104-116

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