DEVELOPMENT OF A METHODOLOGY FOR INTEGRATED EXPERT ASSESSMENT OF THE PROSPECTS OF SUBSURFACE AREAS BASED ON AN ONTOLOGICAL MODEL AND FUZZY LOGIC

Abstract

Link for citation: Dadykin V.S., Dadykina O.V., Yazvenko N.A. Development of a methodology for integrated expert assessment of the prospects of subsurface areas based on an ontological model and fuzzy logic. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 8, рр. 182-189. In Rus. The relevance of the research lies in the need to provide potential investors and authorities with the results of an integrated expert assessment of the prospects of subsurface areas based on an ontological model and fuzzy logic to increase the economic efficiency of prospecting to identify forecast resources and geological reserves. The aim of the study is to develop a methodology for integrated expert assessment of the prospects of subsurface areas based on an ontological model and fuzzy logic. Objects: subsurface areas promising for geological study, mainly for solid minerals. Methods. The theoretical and methodological basis of the research is based on the methods of system analysis and ontological modeling, the use of fuzzy logic methods. Results. The requirements for an automated system for selecting deposits for potential investors are defined in terms of formalizing the decision-making process in terms of reducing the uncertainty of a group of quantitative criteria and «softening the accuracy» of qualitative criteria. An atomic ontological model containing indicators of integrated expert assessment of the prospects of subsurface areas and methodology for integrated expert assessment of the prospects of subsurface areas based on the ontological model and fuzzy logic were developed. The developed method of integrated expert assessment of the prospects of subsurface areas is being tested in the Bryansk branch of the Federal Budgetary Institution «Territorial Fund of Geological Information for the Central Federal District» (Bryansk) on materials collected in the Central Federal District, and can be used as a decision support system in terms of subsurface use, potential investors, the state customer in the software and targeted planning of geological exploration.