Journals / Türkiye Arazi Yönetimi Dergisi / 2021 / Cilt: 3 - Sayı: 1
Housing Valuation Study in Tokat Province with Multiple Regression and Artificial Neural Networks
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- 1–7
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Abstract
Valuation is the determination of the amount that a property will be processed at a certain date. Valuation can be done for many purposes. These; can be listed as buying and selling, transfer, tax assessment, expropriation, inheritance distribution, investment, financing and credit. There are various methods of valuation. These methods are examined under 3 main groups as traditional, statistical and modern valuation methods. Statistical and modern methods involve less initiative as they depend on a mathematical model. Because in traditional valuation methods, valuation experts try to make value calculations by only estimating an price. However, one of the most important issues in the valuation area is the need to ensure that the information provided to the customer is clear. The aim of the article is to provide an overview of regression analysis, one of the statistical valuation methods, and artificial neural networks, one of the modern valuation methods, and to compare the accuracy values. Matlab software was used for artificial neural network modeling and Minitab software was used for regression analysis. The accuracies of the obtained values were determined by the average absolute percent error (MAPE) formula.
Özet
Değerleme, en basit şekliyle bir mülkün belirli bir tarihte işleme alınacağı tutarın belirlenmesidir. Değerleme, birçok amaç dahilinde yapılabilir. Bunlar; alım-satım, devir, vergi