Application of Fuzzy Logic in Land Consolidation-Classification Studies

Authors

  • Ela Ertunç
  • Tayfun Çay

DOI:

https://doi.org/10.18201/ijisae.267961

Keywords:

Fuzzy logic, Land consolidation, Land classification, Fuzzy systems

Abstract

Land classification is one of the most important stages of consolidation projects. The success and timely completion of this project depends on that this classification is useful and fair and are accepted by landowners. Different methods have been developed for the classification. Effects on the success of the land consolidation of the results of these methods are being investigated. In this study, fuzzy logic method has been used for land classification according to Law No. 5403. In Mamdani Type Fuzzy Logic, Values of soil index, productivity index and the location index, which are used to determine the value of the parcel index, have been defined as input, whereas  the value of parcel index have been defined as the output. Inputs and outputs have been converted to the linguistic terms (such as very efficient, inefficient, somewhat efficient, remote, near) by creating membership functions. Rule base has been created for calculating of the parcel index. As a result of fuzzy inference and defuzzification process, the model formed by Mamdani Type Fuzzy Logic gives the value of parcel index. By giving random input values to test generated model, results has been compared with results obtained manually.

 

Downloads

Download data is not yet available.

References

Çay, T. and İnceyol, Y., “Arazi Toplulaştırması Çalışmalarında Jeodezi ve Fotogrametri Mühendisliğinin Yeri”, Harita Bülteni, Number: 43, 2000.

Elmas, Ç., Yapay Zeka Uygulamaları, Seçkin Yayıncılık, Ankara-Turkey, 2007.

Gülbağ, A., “Yapay Sinir Ağı ve Bulanık Mantık Tabanlı Algoritmalar İle Uçucu Organik Bileşiklerin Miktarsal Tayini”, PhD Thesis, Sakarya University, Graduate School of Natural Sciences, Sakarya-Turkey, 2006.

Gündoğdu, K.S., Aslan, Ş.T.A. and Arıcı, İ., “Arazi Toplulaştırmada Parsel Değer Sayılarının Coğrafi Bilgi Sistemi ile Belirlenmesi”, Uludağ Üniversitesi Ziraat Fakültesi Dergisi, 17(1), Pages. 137-148, 2003.

Şen, Z., Bulanık Mantık İlkeleri ve Modelleme, ISBN: 978-975-6455-42-5, Su Vakfı Yayınları, İstanbul-Turkey, 2009.

Yılmaz, M. and Arslan, E., “Bulanık Mantığın Jeodezik Problemlerin Çözümünde Kullanılması”, 2. Mühendislik Ölçmeleri Sempozyumu, 23-25 Kasım 2005, İstanbul-Turkey, 2005.

Downloads

Published

26.12.2016

How to Cite

Ertunç, E., & Çay, T. (2016). Application of Fuzzy Logic in Land Consolidation-Classification Studies. International Journal of Intelligent Systems and Applications in Engineering, 118–123. https://doi.org/10.18201/ijisae.267961

Issue

Section

Research Article

Similar Articles

1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.