Development of Integrated Fuzzy Model for Mine Management Optimization

Објеката

Тип
Рад у часопису
Верзија рада
објављена верзија
Језик
енглески
Креатор
Miodrag Čelebić, Sanja Bajić, Dragoljub Bajić, Dejan Stevanović, Duško Torbica, Vladimir Malbašić
Извор
Comptes rendus de l’Académie Bulgare des Sciences
Издавач
Bulgarian Academy of Sciences
Датум издавања
2023
Сажетак
Technoeconomic, environmental and safety criteria generally affect the management of metallic and non-metallic mining operations. The first basic question that needs to be addressed when planning ore mining is which methods are adequate and what is the optimal mining technology? Due to the complex geologic framework of ore deposits, geological exploration has rendered synonymous the inherent uncertainties, vagueness, and inaccuracies. As a result, subjective evaluation by engineers and expert experience have become increasingly important. Given that the natural language used by miners and geologists is most suited for relaying knowledge and expressing opinions, the paper tests a fuzzy optimization methodology that uses linguistic variables. Consequently, extent analysis is applied to fuzzy AHP by means of triangular fuzzy numbers to arrive at a decision about the optimal mining technology. The entire procedure constitutes an integrated mine management system, which will contribute to sustainable production in the future. A case study to which the model was applied is presented in the paper.
том
76
Број
9
почетак странице
1413
крај странице
1420
doi
10.7546/CRABS.2023.09.12
issn
1310–1331
Subject
mining technology, expert evaluation, triangular fuzzy numbers, multicriteria decision making
Шира категорија рада
M20
Ужа категорија рада
М23
Права
Отворени приступ
Лиценца
All rights reserved
Формат
.pdf
Медија
2023-09-12.pdf

Miodrag Čelebić, Sanja Bajić, Dragoljub Bajić, Dejan Stevanović, Duško Torbica, Vladimir Malbašić. "Development of Integrated Fuzzy Model for Mine Management Optimization" in Comptes rendus de l’Académie Bulgare des Sciences, Bulgarian Academy of Sciences (2023). https://doi.org/10.7546/CRABS.2023.09.12

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