Application of Fuzzy Logic in Land Consolidation-Classification Studies

Year 2016, , 118 - 123, 26.12.2016

Ela Ertunç , Tayfun Çay

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

Cited By: 4

Abstract

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.

Keywords

Fuzzy logic, Land consolidation, Land classification, Fuzzy systems

References

• [1] Çay, T. and İnceyol, Y., “Arazi Toplulaştırması Çalışmalarında Jeodezi ve Fotogrametri Mühendisliğinin Yeri”, Harita Bülteni, Number: 43, 2000.
• [2] Elmas, Ç., Yapay Zeka Uygulamaları, Seçkin Yayıncılık, Ankara-Turkey, 2007.
• [3] 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.
• [4] 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.
• [5] Şen, Z., Bulanık Mantık İlkeleri ve Modelleme, ISBN: 978-975-6455-42-5, Su Vakfı Yayınları, İstanbul-Turkey, 2009.
• [6] Yılmaz, M. and Arslan, E., “Bulanık Mantığın Jeodezik Problemlerin Çözümünde Kullanılması”, 2. Mühendislik Ölçmeleri Sempozyumu, 23-25 Kasım 2005, İstanbul-Turkey, 2005.