Evaluation of shaft locations in underground mines: Fuzzy multi-objective optimization by ratio analysis with fuzzy cognitive map weights

Bakhtavar, Ezzeddin; Yousefi, Samuel; Jafarpour, Amir

doi:10.17159/2411-9717/68/2019

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…In recent years, learning algorithms have been used to increase metrics accuracy and map convergence and reduce dependency on expert opinion. e algorithms are categorized into three groups of learning algorithms based on Hebbian, population-based learning, and hybrid learning algorithms [56]. Also, according to the data of the current study, hybrid learning algorithms would be the best option.…”

Section: Fcm Methodmentioning

confidence: 99%

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Jafarpour

Najafi

2022

Mathematical Problems in Engineering

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Geological studies are very important at different steps of mining activities. Different uncertain geological criteria and factors show a significant impact during the underground mining operations and mineral extraction process. The current study reports on the evaluation and classification of coal seams for methane drainage-ability (MDA) through a fuzzy hybrid approach. This problem was investigated due to the importance of uncertain geological factors in the process of MDA and the necessity to evaluate safety operations in underground coal mines. The important criteria involved are depth, thickness, and uniformity of coal seam, joints and cleats conditions, roof quality, coal seam gas content, underground water condition, and permeability of coal seam. The two-stage fuzzy classification approach was used to analyze the effectiveness of the uncertain geological criteria. Also, fuzzy cognitive map (FCM) method was used to calculate weights for geological criteria. The used FCM method is based on the Hebbian algorithm and metaheuristic methods. The Hebbian learning algorithm is made from a hybrid learning algorithm of nonlinear heuristics and differential evolution. In addition, fuzzy intervals of criteria were calculated based on technical reports and other scientific studies. Then, the rank of each coal seam calculates by fuzzy T-norms. The proposed system was employed to classify the coal seams for MDA in Parvadeh coalfield, Iran. The results showed that the C1, C2, B2, B1, and D coal seams were classified in the “very good,” “good,” “moderate,” “poor,” and “very poor” categories, respectively. The proposed fuzzy hybrid approach provides a new logical tool in the selection of coal seam for methane drainage operation and can reduce the risk of methane drainage projects in underground coal mines.

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Section: Fcm Methodmentioning

confidence: 99%

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Jafarpour

Najafi

2022

Mathematical Problems in Engineering

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“…Tende et al [ 191 ] unravel important attributes aiding gold mineralization by combining distance correlation analysis, prediction area plots, and MCDM methods involving TOPSIS, MOORA, and ARAS in the schist belt of Nigeria. Bakhtavar et al [ 192 ] proposed an integrated methodology integrating a fuzzy cognitive map with fuzzy MOORA for prioritizing the shaft production location in underground mines, considering economic and technical criteria, which is validated by the fuzzy TOPSIS method. Sharif et al [ 193 ] proposed a hybrid fuzzy Delphi ANP technique for weight determination of criteria and a fuzzy MOORA method for evaluating an adequate block size in designing and operating the open-pit copper mine, considering important suggestions from mining experts.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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“…The most frequently used method of making deposits available is vertical shaft. The place where the shaft is established depends on the shape of the deposit, its size and angle of inclination as well as the topography [20]. It is not recommended to set up shafts in valleys near rivers and water reservoirs that would pose a risk of flooding the shaft.…”

Section: Access By Means Of Vertical Shaftmentioning

confidence: 99%

Access to Deposits as a Stage of Mining Works

et al. 2022

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An extremely important role in the underground method of mining deposits is the type of access, which is the initial stage of the mining operations. The main feature of mineral deposits is their exhaustiveness and the inability to restore resources. This necessitates the rational management of deposit resources, especially the minimization of resource losses during exploitation. This article presents information on the mining area and methods of access the deposits. In particular, attention was paid to the advantages and disadvantages of access by means of an adit, decline, and a vertical and inclined shaft. Given the relationships among the various stages of mining works, it was found that the number of active levels depends on the volume of production and the adopted mining methods. In addition, attention was drawn to the fact that the access to deposits at increasing depth is related to the intensification of natural hazards that affect the access structure.

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Evaluation of shaft locations in underground mines: Fuzzy multi-objective optimization by ratio analysis with fuzzy cognitive map weights

Cited by 9 publications

References 18 publications

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Access to Deposits as a Stage of Mining Works

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