Municipality Management and Model of Evaluation and Selection of the Expert Group Members for Smart City Transportation and Mobility including UAV/UAS

摘要

The urgency of the work lies in the development of a fuzzy model for quantifying experts for smart city transportation and mobility, for ranking them and selecting an expert group, which integrates different models of competence of experts and reveals the subjectivity of the answers to the questions in their evaluation. The development of such a model will allow to increase the degree of validity of the decision making of the choice of experts (employees, specialists) municipality, which are best suited for the competences, qualities or psychophysiological peculiarities for the effective fulfillment of the task for smart city transportation and mobility. As a result, for the first time, a seven-step general algorithm for the expert group, for smart city transportation and mobility, assessment and selection model has been developed that integrates different expert competence models and can be applied to different areas of specialist selection. A structural framework for the evaluation and ranking of the expert group was also proposed for the first time, as well as examples of constructing membership functions for the evaluation questionnaire. Experimentally tested the general algorithm of fuzzy model of evaluation on the test example of the choice of the head of expert group among 5 experts on 3 models of competences (model of self-esteem, model of special abilities and skills, model of psychophysiological qualities of personality).