Fuzzy Logic for Underground Mining Method Selection (original) (raw)
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Application of Fuzzy Analytic Hierarchy Process to Underground Mining Method Selection
Symmetry, 2020
The paper proposes a problem-solving approach in the area of underground mining, related to the evaluation and selection of the optimal mining method, employing fuzzy multiple-criteria optimization. The application of fuzzy logic to decision-making in multiple-criteria optimization is particularly useful in cases where not enough information is available about a given system, and where expert knowledge and experience are an important aspect. With a straightforward objective, multiple-criteria decision-making is used to rank various mining methods relative to a set of criteria and to select the optimal solution. The considered mining methods represent possible alternatives. In addition, various criteria and subcriteria that influence the selection of the best available solution are defined and analyzed. The final decision concerning the selection of the optimal mining method is made based on mathematical optimization calculations. The paper demonstrates the proposed approach as applied in a case study.
Mining Science, 2017
The selection of the mining method is one of the most crucial decisions in the stage of designing mines. This depends on some underlying parameters such as economic, technical and efficiency properties. The parameters may be collected and examined in a wide range of methods including core drilling and developmental planning of an active mine. The process of selecting the mining method can be described as multi-criterion decision-making due to the several factors involved in the evaluation process. Through the multi-criterion decision-making, the structure of problems is analyzed. However, multicriteria decision-making (MCDM) is often criticized because of its inability to handle uncertain and imprecise problems. Thus, the fuzzy decision-making is proposed as a powerful tool. Therefore in this paper, the fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) is used to select the best mining method among square-set stoping, cut-and-fill stoping, shrinkag...
Application of Multi-Criteria Decision-Making Methods for the Underground Mining Method Selection
In mining, there are many complex problems that need to be solved in a limited period of time. When solving these complex tasks, it is necessary to take into account many parameters, all in order to determine the optimal solution for a given problem. The application of multi-criteria decision-making methods (MCDM) is very widely used to solve such complex problems. One of the most complex problems in mining is the underground mining method selection. In order to choose the most appropriate method of mining excavation, it is necessary to take into account a large number of influential parameters according to which we will compare mining methods. This paper will discuss the problem of underground mining method selection using the EDAS method. Also, a comparison of the obtained results will be made for a specific example, when applying several methods for multi-criteria decision-making. After comparing the obtained results, the most suitable mining method for a specific example will be determined.
Selection of an appropriate mining method is a complex task that requires consideration of many technical, economical, political, social, and historical factors. The aim of this paper is developing a hierarchical model to selection the optimum mining method with the use of effective and major criteria and simultaneously, taking subjective judgments of decision makers into consideration. Proposed approach is based on the combination of Fuzzy Analytic Hierarchy Process (FAHP)method with TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. FAHP is used in determining of the weights of the criteria by decision makers and then rankings of the methods are determined by TOPSIS. The proposed method is applied for Jajarm Bauxite Mine in Iran and finally the most appropriate mining methods for this mine are ranked.
Underground mining method selection is one of the most crucial decisions that should be made by mining engineers. Choosing a suitable underground mining method to carry out extraction from a mineral deposit is very important in terms of the economics, safety and the productivity of mining operations. The aim of this study is developing a fuzzy model to selection the optimum mining method by using effective and major criteria and at the same time, taking subjective judgments of decision makers into consideration. Proposed approach is based on the combination of fuzzy analytic hierarchy process (FAHP) method with an advanced type of conventional AHP. FAHP is used in determining of the weights of the criteria by decision makers and then rankings of the methods are determined by AHP. The proposed method is applied for Jajarm Bauxite Mine in Iran and finally the most appropriate mining methods for this mine are ranked.
Journal of The Institution of Engineers (India): Series D, 2018
The present study aims to make a comparative study of the selection of mining method using five multicriteria decision-making (MCDM) models (TOPSIS, VIKOR, improved ELECTRE, PROMETHEE II, and WPM). Underground mining method selection is a multicriteria decision-making problem, and the mine planners face the challenges in the selection of the appropriate mining method. The selection of mining method depends on multiple intrinsic factors (dip, shape, thickness, depth, grade distribution, RMR of ore, RMR of hanging wall, and RMR of footwall) and extrinsic factors (available technology). The study considered only intrinsic factors in selection of mining method. In the last few decades, many multi-criteria decision-making models have been developed. The study uses AHP technique for determining the weights of the effective criteria. The proposed techniques were implemented for Tummalapalle mine of Uranium Corporation of India Limited (UCIL), India. The results revealed that mining methods selected were not uniform. Actually it is a case of room and pillar being the preferred method by three of the MCDM models, while it is a second or equal preference method in two of the MCDM models applied.
Archives of Mining Sciences, 2019
The basis for a mineral deposit delimitation is a qualitative and quantitative assessment of deposit parameters, qualifying a deposit as an economically valuable object. A conventional approach to the mineral deposit recognition and a deposit detailed parameters qualification in the initial stages of development work in the KGHM were presented in the paper. The goals of such recognition were defined, which through a gradual detailed expansion, resulting from the information inflow, allows for the construction of a more complete decision-making model. The description of the deposit parameters proposed in the article in the context of fuzzy logic, enables a presentation of imprecise statements and data, which may be a complement to a traditional description. Selected non-adjustable and adjustable s-norm and t-norm operators were demonstrated. Operators effects were tested for selected ore quality parameters (copper content and deposit thickness) by constructing adequate membership fun...
2012
Abstract Loading and hauling contribute significantly towards expenses in surface mines. Thus selecting the most suitable system which minimizes the cost per ton and meets production needs is one of the main concerns of mine design and planning. It is also at times difficult to select the optimum equipment, as there are many possible options and influencing factors in selecting a system. Furthermore, some of these factors can be either quantitative or qualitative. As a result, the use of multi attribute decision making methods can be useful.
Optimal open pit mining equipment selection using fuzzy multiple attribute decision making approach
Archives of Mining Sciences
Equipment selection in mining engineering is one of the most important decision that is affected the mine design, production planning and economic parameters in open pit mining. Mine planning engineers generally use of their intuition and experiences in decision making even though equipment selection is a complex multi criteria decision problem. In real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not so deterministic, there for they usually are fuzzy-imprecise.