Designing a system of geological and economic assessment of prospects of subsurface areas based on the ontology of the subject area and the use of fuzzy logic methods

Abstract

Currently, the task of using automated information systems to assess the economic efficiency of subsurface areas is becoming very relevant. This is due to the increasing role of expert information and analytical systems in the structure of software products used in the process of analyzing the results of geological exploration and determining new priorities in the research of mineral resources of solid minerals and groundwater for the needs of the regional economy. The decrease in the number of geologists in this field leads to the need to design a system of geological and economic assessment of the prospects of subsurface areas based on an ontological approach. The application of ontology is designed to reproduce the chain of decision-making by an expert specialist, but in a new view based on associative relationships and empirical rules. In this paper, an attempt is made to build a model of geological and economic assessment based on an ontological approach for the subsequent design of a decision support system using fuzzy logic methods. The research object is the application of the ontological approach and fuzzy logic methods to the analysis. The purpose of this work is to design a system of geological and economic assessment of the prospects of subsurface areas based on the ontology of the subject area and the use of fuzzy logic methods. As a result, a system of geological and economic indicators for assessing the prospects of subsurface areas was developed.