Resumen
The subject matter of the article is the process of processing expert information in the context of the collective assessment of a tourism infrastructure. The tourism infrastructure is a complex of interconnected actions and institutional structures that provide conditions for tourist activities. The expert assessment as a methodology for selecting the types of action has long been used successfully in technological and economic practice. The main requirement for the collective expert assessment is its reliability, which is determined by the consistency of individual expert ratings. The goal of the article is to suggest methods that increase the consistency of collective rankings and to prove practically their accuracy while assessing the tourist infrastructure of a region. The objectives of the article are to analyze the concept of "a tourism infrastructure"; to study the methods of processing expert information in the tasks of constructing aggregated consensus rankings, to demonstrate the effectiveness of expert methods in assessing the tourist infrastructure of a region. The following methods were used in the study ? system analysis, rank data analysis, expert assessment. The following results were obtained: the methods of preliminary processing and aggregating collective assessments in rank scales were studied; the method of step-by-step reduction of a number of experts was suggested in order to increase the consistency of individual expert rankings. Specific examples of collective rankings for assessing the tourism infrastructure of a region were presented to illustrate the obtained results. Conclusions. The state of the tourism infrastructure is one of the important factors that determine the results of the industry and the degree of the achievement of the strategic goals of its development. The method of creating a collective expert assessment of complex objects by "random" experts, in particular, assessment of the tourist infrastructure of a region, is proposed. The developed method can significantly improve the consistency of a collective assessment and identify "weak" places in the tourism infrastructure. The accuracy of the proposed method and its effectiveness are proved by a real expert assessment.