scholarly journals Application of Fuzzy Analytic Hierarchy Process to Underground Mining Method Selection

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 192 ◽  
Author(s):  
Sanja Bajić ◽  
Dragoljub Bajić ◽  
Branko Gluščević ◽  
Vesna Ristić Vakanjac

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.

2021 ◽  
Vol 15 (3) ◽  
pp. 405-420
Author(s):  
Bhanu Chander Balusa ◽  
Amit Kumar Gorai

In the last few decades, many underground mining methods were proposed for extractions of ores. The decision-making for selecting the most suitable mining method for a typical ore depost depnds on various intrinsic and extrinsic factors (intrinsic – dip, shape, thickness, depth, grade distribution, RMR (rock mass rating) and RSS (rock substance strength) of ore, hanging wall, footwall, and extrinsic – recovery, dilution, safety, productivity, flexibility, capital). The present study aims to develop a hierarchical Fuzzy-AHP (FAHP) model for choosing the most suitable underground mining method for an ore deposit. The structure of the proposed hierarchical FAHP model consists of five levels. The level-1 of the hierarchy defines two variables (intrinsic factors and extrinsic factors). These are further classified into quantitative or qualitative nature of variable (listed in level-2). The criteria, sub-criteria, and mining method variables are listed respectively in Level 3, Level 4, and Level 5. For each level of the hierarchy, a fuzzy pair-wise comparison matrices are developed using the corresponding levels’ listed variables. These matrices at each level are subsequently used to determine the local and global weights of each variable. The global weights are used for prioritizing the different mining methods. The proposed hierarchical FAHP model was validated by considering the field data of two different ore deposits in India. The results showed that the most appropriate mining method predicted from the decision-making model and the adopted mining method for extracting the ore deposit are same in two case studied mines.


2021 ◽  
Vol 11 (2) ◽  
pp. 2038-2056
Author(s):  
Serhii Korniievskyi ◽  
Olga Matveieva

The purpose of this article is to reveal the method of multiple-criteria optimization for the selection of regional sustainable development projects. Projects for regional sustainable development in the strategic planning are currently considered as an important instrument sustaining competitiveness and productive capabilities of the European economy and supporting developing areas, as an aim of the Europe 2020 strategy. Methodology. European countries implement national strategies by using the broad methodology of project management for reaching strategic aims. In such a context, it becomes necessary to provide a generalized method of projects' evaluation and their selection by the corresponding committees, proceeding from the best international practices and effective policy guidelines. Thus, the aim of this paper is to provide multiple-criteria method for the selection of the optimal regional development project out of the number of competing alternatives. Results. This paper reveals the decision-making process behind the expert selection of the most competitive project, based on a set of following criteria: social, economic, ecological and budgetary efficiency. Our method is as follows: we are considering all the available components of efficiency through the lens of integral factor. For each component we propose a set of local indicators that describe its degree of efficiency in comparable values. The projects of Dnipropetrovsk regional state administration of Ukraine are considered as main case of this study. To analyze them we use the methodology of multiple-criteria evaluation of regional sustainable development projects. As a result of this process it becomes possible to choose the optimal project for regional development out of wide array of projects being filed by the applicants. Value/originality. Value and originality of the multiple-criteria optimization method is the capability to provide the selection of regional sustainable development project on the base of clear criteria which precludes the possibility of corruption and unfounded decisions being taken by the authorities during the process of the planning the economic activities. As current method of decision-making is based on quantitative assessments of projects’ value, government and local government representatives are guided by a common vision and subjective impressions on the application. The advantages of the proposed method are methodological simplicity, flexibility and universality, which are crucial in the multiple-criteria decision-making in public administration. One of the advantages of this method is that it allows providing a justification for the results and conclusions of the selection process.


2011 ◽  
Vol 402 ◽  
pp. 631-635 ◽  
Author(s):  
Hai Wang Ye ◽  
Fang Liu

It is well known that mining method is the core of an underground mine. In order to select mining methods scientifically and reasonably, after summarizing the underground mining methods, an underground mining methods selecting system based on fuzzy theory is established, which includes primary selecting based on fuzzy clustering and final selecting based on multi-objective decision-making and fuzzy comprehensive evaluation. And the application shows that the mining method selected by the system is the same as the method used in practice, which proves that the selecting system is feasible and reliable.


Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.


2019 ◽  
Vol 84 ◽  
pp. 49-58 ◽  
Author(s):  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Miodrag Brzakovic ◽  
Darjan Karabasevic

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