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.
Keywords: ranking of subsurface areas by prospects, fuzzy logic, economic efficiency assessment, integrated economic assessment
Highlights:
♦ an ontological model containing geological and economic indicators for assessing the prospects of subsurface areas allows us to establish a set of factors used to make managerial decisions;
♦ the application of qualitative evaluation factors in the ontological model requires the addition of the model with the rules of fuzzy inference (implication);
♦ the actual assessment of the geological and economic assessment indicators as part of the model makes it possible to rank the objects of the mineral resource base and forecast resources according to the degree of their prospects.
Valery S. Dadykin, Olga V. Dadykina, Natalia V. Odinochenkova - Bryansk State Technical University, Bryansk, Russia; Sofya S. Stukanova - National Research University of Electronic Technology, Moscow, Russia