Bulanık Mantık Algoritmaları ile Kaya Sınıflandırması

Year 2023, Volume: 9 Issue: 2, 469 - 477, 31.12.2023

Ebru Efeoğlu

https://doi.org/10.34186/klujes.1336127

Abstract

Kaya sınıflandırması tünel ve yeraltı çalışmalarının yanı sıra madencilik ve hidrokarbon araştırmalarında da önem teşkil eder. Kayaların türünün yanlış tespiti hem para hem de zaman kaybına yol açar. Bu çalışmada 4 farklı kaya sınıfının fiziksel ve mekanik özellikleri kullanılarak kaya sınıflandırması yapılmıştır. Sınıflandırma için Bulanık Sırasız Kural İndüksiyon Algoritması (FURIA), Bulanık Kafes Akıl Yürütme (FLR), Çok Amaçlı Evrimsel Bulanık (MOE Fuzzy) sınıflandırıcıları kullanıldı. Çok Amaçlı Evrimsel Bulanık MOE Bulanık sınıflandırıcısı, ENORA ve NSGA II algoritmalarına dayanmaktadır. Bu nedenle bu algoritmalar ayrı ayrı kullanıldı. Verilere sınıflandırma öncesi Sentetik Azınlık Aşırı Örnekleme Tekniği uygulandı ve bu işlemden önceki ve işlem sonrasında sınıflandırma performansları karşılaştırıldı. Sonuç olarak Sentetik Azınlık Aşırı Örnekleme Tekniği ile sınıflandırma başarısının arttığı görülmüştür. Sınıflandırmada en başarılı algoritma FURIA algoritması oldu. Algoritma sınıflandırmayı %93 doğrulukla ve 0.16 hata değeri ile gerçekleştirdi.

Keywords

Bulanık mantık, Kaya türleri, Sınıflandırma

Supporting Institution

yok

Project Number

yok

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