Electric Car Price Prediction Using Random Forest Algorithm - Comparative Analysis for Türkiye Example and Solution Proposals with Fuzzy Sets

Aug 25, 2026

Electric vehicles are gaining attention as environmentally friendly technologies spread and fuel prices rise, yet consumers’ purchase decisions depend heavily on sales price. This study estimates sales prices of 96 electric vehicles across brands, models, and market segments using a Random Forest Algorithm with 10 evaluation criteria drawn from the literature. Predicted and market prices are compared via a Türkiye case study, and fuzzy-logic-based solution proposals address uncertainty and subjectivity.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages16

Reading Time40 min

AccessFree to download

Introduction

Electric vehicles and market demand

Turkey context and TOGG

Data presentation and figures

| Computer and Decision Making
An International Journal
[www.comdem.org](www.comdem.org)
[eISSN: 3008-1416](eISSN: 3008-1416) | | | | --- | --- | --- | | Electric Car Price Prediction Using Random Forest Algorithm Comparative Analysis for Türkiye Example and Solution Proposals with Fuzzy Sets
Kemal Gürol Kurtay 1 , Hakan Ayhan Dağıstanlı1,*, Gülin Feryal Ural2, Pelin Azizoğlu Tonya3
1 Department of Industrial and Systems Engineering, Turkish Military Academy, National Defence University, Ankara, Turkey
2 Department of Industrial Engineering,, Baskent University, Ankara, Turkey
3 TOBB University of Economics and Technology, Ankara, Turkey | | | | ARTICLE INFO | ABSTRACT | | | Article history:
Received 1 May 2025
Received in revised form 28 May 2025 Accepted 30 May 2025
Available online 31 May 2025 | Nowadays, due to the adoption of environmentally friendly technologies and the rising fuel prices, consumers are increasingly turning to electric vehicles. However, it is known that one of the most important factors influencing consumers' decisions to purchase electric vehicles is the sales price. In order for the electric vehicle market to grow globally, it is crucial to implement an effective pricing strategy. In this context, the study estimates the sales prices | | | Keywords: | of 96 electric vehicles of various brands, models, and types across different segments using the Random Forest Algorithm. Additionally, while predicting the sales prices, the model was developed based on 10 criteria commonly used in the literature to evaluate the performance of electric vehicles. The results were used to compare the market sales prices and the predicted sales prices of various electric vehicles as part of a case study conducted in | | | Price Prediction; Random Forest Algorithm; | Turkey. Furthermore, the relationship between the market and predicted | | | Machine Learning; Electric Vehicles; TOGG, | sales prices was analyzed for the four most important quantitative criteria | | | Fuzzy Logic. | considered in the literature and by consumers when purchasing electric vehicles. In the final section, solution suggestions based on fuzzy logic were provided for situations involving uncertainty and subjectivity. The study is considered to offer guidance to companies in determining the sales prices of electric vehicles. | | 1. Introduction Compared to gasoline-and diesel-powered vehicles, electric vehicles offer significantly greater savings in terms of energy costs. The absence of emission releases, unlike in gasoline and diesel vehicles, also gives electric vehicles an environmentally friendly advantage. In addition, the ease of setting up individual or collective charging stations through infrastructure arrangements and their low maintenance costs have made electric vehicles a preferred choice. From the perspective of driving comfort, the absence of noise during travel and the use of electronic and touch-based components inside the vehicle are among the notable advantages provided by electric vehicles. * Corresponding author. E-mail address: [hakanayhand@gmail.com](hakanayhand@gmail.com) [https://doi.org/10.59543/comdem.v2i.14381](https://doi.org/10.59543/comdem.v2i.14381) From the driver's point of view, features such as quick acceleration and deceleration, better road grip due to battery placement, and superior cornering performance have been particularly appreciated by those who frequently use vehicles for transportation. In countries like Turkey, special consumption tax reductions provided for electric vehicles further enhance their attractiveness. Government emission regulations and tax policies, individuals’ increasing environmental awareness, changes in energy supply sources, the finite nature of fossil fuels, and technological advancements have all contributed to the growing demand for electric vehicles among consumers. Especially in the EU countries, the USA, and China, electric v

FAQs

Why is sales price important for electric vehicle purchase decisions?

Consumers’ decisions are strongly influenced by the sales price. The study emphasizes that an effective pricing strategy is crucial for global market growth.

How does the study predict electric vehicle sales prices?

It predicts sales prices of 96 electric vehicles using a Random Forest Algorithm, based on 10 criteria commonly used in the literature to evaluate electric vehicles’ performance.

What role does fuzzy logic play in the study?

Fuzzy logic is used to provide solution proposals for situations involving uncertainty and subjectivity, and to support guidance for pricing decisions.

Aug 25, 2026

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