Fuzzy logic approach in resource classification |
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Authors: | Erkan Ozkan Adnan Konuk |
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Affiliation: | 1. Mining Engineering Department, Afyon Kocatepe University, Afyon, Turkey;2. Mining Engineering Department, Eskisehir Osmangazi University, Eskisehir, Turkey |
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Abstract: | Conventional geostatistical prediction methods can be used to carry out resource classification in ore beds and for reliability measurements. A field investigation based on lignite thickness data was conducted for resource classification in Eskisehir-Mihaliccik-Koyunagili coal basin. Moreover, a fuzzy logic-based resource classification method has been recently proposed to eliminate the uncertainties encountered in the conduct of conventional resource classification procedure. Fuzzy logic-based classification provides gradual transitions between two adjacent resource classes. In addition, the proposed method can classify each block by assigning a membership degree for handling decision-making problems encountered in conventional resource classification methods. |
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Keywords: | Resource classification ordinary kriging error interpolation error fuzzy logic |
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