LAPSE:2019.0369
Published Article
LAPSE:2019.0369
Multi-Attribute Technological Modeling of Coal Deposits Based on the Fuzzy TOPSIS and C-Mean Clustering Algorithms
February 27, 2019
The main aim of a coal deposit model is to provide an effective basis for mine production planning. The most applied approach is related to block modeling as a reasonable global representation of the coal deposit. By selection of adequate block size, deposits can be well represented. A block has a location in XYZ space and is characterized by adequate attributes obtained from drill holes data. From a technological point of view, i.e., a thermal power plant’s requirements, heating value, sulfur and ash content are the most important attributes of coal. Distribution of attributes’ values within a coal deposit can vary significantly over space and within each block as well. To decrease the uncertainty of attributes’ values within blocks the concept of fuzzy triangular numbers is applied. Production planning in such an environment is a very hard task, especially in the presence of requirements. Such requirements are considered as target values while the values of block attributes are the actual values. To make production planning easier we have developed a coal deposit model based on clustering the relative closeness of actual values to the target values. The relative closeness is obtained by the TOPSIS method while technological clusters are formed by fuzzy C-mean clustering. Coal deposits are thus represented by multi-attribute technological mining cuts.
Keywords
adjusted Rand index, block model, coal deposit, entropy, Fukuyama-Sugeno validity functional, fuzzy C-mean clustering, fuzzy TOPSIS, technological model
Suggested Citation
Gligorić M, Gligorić Z, Beljić ?, Torbica S, Štrbac Savić S, Nedeljković Ostojić J. Multi-Attribute Technological Modeling of Coal Deposits Based on the Fuzzy TOPSIS and C-Mean Clustering Algorithms. (2019). LAPSE:2019.0369
Author Affiliations
Gligorić M: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Gligorić Z: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Beljić ?: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Torbica S: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Štrbac Savić S: The School of Electrical and Computer Engineering of Applied Studies, Vojvode Stepe 283, 11000 Belgrade, Serbia [ORCID]
Nedeljković Ostojić J: Department of Geodesy, Belgrade University College of Applied Studies in Civil Engineering and Geodesy, Hajduk Stanka 2, 11000 Belgrade, Serbia [ORCID]
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1059
Year
2016
Publication Date
2016-12-15
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9121059, Publication Type: Journal Article
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LAPSE:2019.0369
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doi:10.3390/en9121059
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Feb 27, 2019
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Feb 27, 2019
 
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Calvin Tsay
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