Informational-intellectual platform for assessment of the forecasted behavior of tourists regarding re-visit to the region

The development of tourism in Ukraine after the war period will be important for the economic, socio-cultural, and infrastructural recovery of the country. This helps to improve the quality of life of the population, preserve the cultural heritage, strengthen international ties, and support the morale of the population. A high level of repeat visits contributes to the stability of the tourist flow, which provides constant income for local businesses and increases employment in the tourism sector. Understanding the reasons for repeat visits allows the state and local authorities to develop effective marketing strategies to attract tourists who have already visited the region. The increase in repeat visits contributes to increasing attention to preserving cultural and historical monuments attractive to tourists. Repeat visitors often support local businesses, contributing to their growth and sustainability. The purpose of the conducted research is to develop an information-intellectual platform for evaluating the predicted behavior of tourists regarding repeated visits to the region. For the first time, a fuzzy method of estimating the predicted level of repeated visits to the region by tourists has been developed, which considers the conclusion of the decision-maker (DM) regarding the promotion of regional tourism in the information space. A fuzzy method of evaluating tourists' travel satisfaction level, based on the application of multidimensional membership functions, was further developed, which was generalized for the possibility of using relatively different tourist aspects. The information and intellectual platform were verified and tested on real data in Zakarpattia, Lviv, and Ivano-Frankivsk regions for 327 respondents. An example of the assessment of the predicted level for a repeat visit to the Uzhhorod district of Zakarpattia region is given. The research is based on the theory of fuzzy sets and fuzzy logic, increasing management decisions' validity. All model settings are tested and verified on real data. Further research of the problem is seen in developing web-oriented software of an information-intellectual platform for use by all interested persons, tourists, businesses, and state authorities.