Fuzzy model for assessing the impact of pricing factors on the cost of primary housing
Anton A. Kopnin - College teacher, master's student. Ural State University of Economics
Danil V. Prokoshev - Student. Russian University of Transport (MIIT)
Abstract
The article presents the results of a study on the creation of a fuzzy model for assessing the impact of pricing factors on the cost of primary real estate. The aim of the study is to develop a fuzzy logic-based tool for analyzing and evaluating the complex relationships between various factors that affect value. The article covers important aspects of creating a fuzzy model, including the definition of pricing factors, linguistic variables, and membership functions. The process of forming a rule base is considered, which determines the logical connections between factors and their influence on the price of real estate. The essence of the concept of primary housing and factors influencing pricing based on data on the situation in the real estate market are considered. The results of the study can be a useful tool for developing pricing strategies and decision making in the real estate market. The model developed by the authors can be improved considering the characteristics of a particular market and available data.
Keywords: fuzzy model; fuzzy control technologies; fuzzyTECH; data mining; primary housing cost; pricing; real estate market.
For citation: Kopnin A. A., Prokoshev D. V. Fuzzy model for assessing the impact of pricing factors on the cost of primary housing. Digital models and solutions. 2023. Vol. 2, no. 2. DOI: 10.29141/2782-4934-2023-2-2-4. EDN: GECTSE.
