Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic

V. S. Dadykin; O. V Dadykina

doi:10.1117/12.2680690

27 April 2023 Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic

V. S. Dadykin, O. V Dadykina

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Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 126370K (2023) https://doi.org/10.1117/12.2680690
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan

Abstract

Currently, in financing cases concerning state-run mineral resources base reproduction, especially in terms of identifying forecast resources, and in some cases regarding the category of reserves C2, there is an urgent need to develop ranking techniques for subsurface allotments according to their prospects. In such situations, the use of fuzzy logic models will allow formalizing and automating integral estimation calculation of subsurface allotments for the purposes of their ranking. Therefore, the purpose of this work is to develop instructional aspects of ranking subsurface allotments according to prospects based on the use of fuzzy logic. Resulting from the application of this technique it was possible to perform an aggregated assessment of subsurface areas on the territory of the Bryansk region according to geological reports for the period of 2010-2020. The subsurface areas, being subsequently recognized as prospects, were introduced into the model with their expert assessments for this period of work. Thus, we have initiated a methodology for ranking subsurface areas according to their prospects based on the use of fuzzy logic. It provides for the use of the specified production rules to perform the ranking of subsurface allotments taking into account the prospects. Production rules should cover all possible combinations of expert assessments in confidential intervals. Besides, within the implementing techniques it is required to compare subsurface allotments in terms of fuzzy estimates and also clear mathematical sets. This operation is implemented programmatically (Mamdani algorithm) by performing sequential phasification – defasification operations in the Fuzzy logic component of the Matlab software product.

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V. S. Dadykin and O. V Dadykina "Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 126370K (27 April 2023); https://doi.org/10.1117/12.2680690

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KEYWORDS

Fuzzy logic

Minerals

Raw materials

Fuzzy systems

Industrial applications

Materials properties

MATLAB

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