Use of fuzzy logic in lignite inventory estimation

Tutmez, B.; Dag, AHMET

doi:10.1080/15567240600629302

Use of fuzzy logic in lignite inventory estimation

Atıf İçin Kopyala

Tutmez B., Dag A.

ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, cilt.2, sa.1, ss.93-103, 2007 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 2 Sayı: 1
Basım Tarihi: 2007
Doi Numarası: 10.1080/15567240600629302
Dergi Adı: ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.93-103
Çukurova Üniversitesi Adresli: Evet

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.