Akademik Veri Yönetim Sistemi
ENGINEERING ECONOMIST, 2026 (SCI-Expanded, SSCI, Scopus)
This study addresses the problems in the expropriation process of immovable properties and emphasizes the need to revise valuation methods to resolve disputes. By comparing the effects of variable attributes under the influence of market data on expropriation cost determination, the focus is on comparing models using modern approaches with classical methods. The study's main objective is to eliminate the difference between expropriation and real estate valuation and create a model that reaches the closest result to the real value. In this context, six different models were created using different parameters. The models were analyzed using Artificial Neural Networks, Gaussian Process Regression, M5 Tree, Multivariate Adaptive Regression Analysis, Support Vector Machines, and Least Squares Support Vector Machines. It is concluded that the expropriation cost estimation should not only take into account the change in money over time but also the changes in building characteristics and construction cost index rates.