Özet:

The object of research is methods and technologies for diagnosing buildings using the tools of the theory of fuzzy sets. One of the most problematic areas is the lack of a system of intelligent diagnostic methods based on the accumulated knowledge of experts and current information on the condition of buildings. In the course of the study, expert assessments of the survey of the technical condition of the facilities are used as the basis for predicting their reliable operation. The technique of expert assessment is obtained in the survey of the technical condition of buildings. The proposed methodology has a structure that involves the formation of signs of damage through ranking, the formation of an expert group, the formation of rules for the work of the expert group, assessing the degree of agreement between experts, quantitative assessment of signs of damage. With this approach, it becomes possible to obtain reasonable results about the presence and extent of damage and the possibility of comparing the results with the initial ones that characterize previously conducted technical condition surveys. The proposed approach contributes to the certainty in the recognition of building structures in conditions of limited statistical data from instrumental surveys and inaccurate information based on directive research methods. In comparison with probabilistic approaches and methods of the theory of fuzzy sets, the approach uses the theory of measurements and mathematical statistics and gives confidence to the expert in substantiating the necessary assessment of the state of structures. In the developed methodology, the degree and depth of expert assessment of building structures with the purpose of bringing the entire system to a normal technical state is made through an intuitive-logical analysis of problems with qualitative and quantitative judgments and formal processing of results. It is possible to solve the assessment tasks in the absence of a part of important information. Author Biographies Peter Grigorovskiy, State Enterprise «Research Institute of Building Production named of V. S. Balitsky», 51, Lobanovsky ave., Kyiv, Ukraine, 03037 PhD, Senior Researcher, First Deputy Director

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