Fuzzy logic approach in resource classification

ÖZKAN E., İPHAR M., KONUK A.

INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, vol.33, no.3, pp.183-205, 2019 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 3
  • Publication Date: 2019
  • Doi Number: 10.1080/17480930.2017.1381219
  • Journal Name: INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.183-205
  • Keywords: Resource classification, ordinary kriging error, interpolation error, fuzzy logic, MINERAL-RESOURCES, WEIGHTED KAPPA, ORE RESERVES, UNCERTAINTY, SIMULATION, COEFFICIENT, AGREEMENT, DEPOSIT
  • Eskisehir Osmangazi University Affiliated: Yes

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.