Use of fuzzy logic in lignite inventory estimation


Tutmez B., Dag A.

ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, cilt.2, ss.93-103, 2007 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 2 Konu: 1
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1080/15567240600629302
  • Dergi Adı: ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
  • Sayfa Sayısı: ss.93-103

Özet

Seam thickness is one of the most important parameters for reserve estimation of a lignite deposit. This paper addresses a case study on fuzzy estimation of lignite seam thickness from spatial coordinates. From the relationships between input (Cartesian coordinates) and output (thickness) parameters, fuzzy clustering and a fuzzy rule-based inference system were designed. Data-driven fuzzy model parameters were derived from numerical values directly. In addition, estimations of the fuzzy model were compared with kriging estimations. It was concluded that the performance of the fuzzy model was more satisfactory. The results indicated that the fuzzy modeling approach is very reliable for the estimation of lignite reserves.