Fuzzy logic approach in resource classification

ÖZKAN E., İPHAR M., KONUK A.

INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, cilt.33, sa.3, ss.183-205, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33 Sayı: 3
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/17480930.2017.1381219
  • Dergi Adı: INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.183-205
  • Anahtar Kelimeler: Resource classification, ordinary kriging error, interpolation error, fuzzy logic, MINERAL-RESOURCES, WEIGHTED KAPPA, ORE RESERVES, UNCERTAINTY, SIMULATION, COEFFICIENT, AGREEMENT, DEPOSIT
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.