The cost of generating electricity in developing countries surpasses the government's ability to sustain it, necessitating the involvement of the private sector in this service provision through public-private partnerships (PPPs) contracts. In Syria, the electricity system has been highly susceptible to damage as a result of the ongoing crisis, leading to frequent and prolonged blackouts. This research focuses on addressing the need for a comprehensive system that aids decision-making for PPPs contracts in the country. By employing a combination of studies, reports, and interviews with domain experts, significant general and exclusive factors that guide decision-makers in PPPs contracts are identified and organized into questionnaires. These questionnaires are then filled out by professionals engaged in PPPs contracts. The collected data is analyzed and validated using SPSS software. However, due to insufficient data collected, generative adversarial neural networks (GAN) are utilized to enhance the research data. Additionally, Expert Choice and the analytic hierarchy process are employed to calculate weights for each factor. Remarkably, the calculated weights for both general and exclusive factors align with real-life strategies. General factors primarily address the financial and commercial considerations associated with PPPs, while exclusive factors primarily focus on the operational aspects of the electrical power system. These factors are arranged in descending order of effectiveness, enabling stakeholders to determine whether the private sector should be engaged in the project or if it should remain within the public sector's purview. The proposed system has demonstrated its reliability and can serve as a promising starting point for PPPs contracts.

Centre of International Rural Development Studies Faculty of Economics and Management Czech University of Life Sciences Prague Kamýcká 961 129 Prague 6 165 00 Prague Czech Republic

Department of Construction Engineering and Management Faculty of Civil Engineering Tishreen University Latakia Syria

Department of Economics Faculty of Economics and Management Czech University of Life Sciences Prague Kamýcká 961 129 Prague 6 165 00 Prague Czech Republic

Department of Electrical Power Engineering Faculty of Electrical Engineering Czech Technical University Prague Technická 2 Prague 6 166 27 Prague Czech Republic

Department of Health Care Disciplines and Population Protection Faculty of Biomedical Engineering Czech Technical University Prague Sportovců 2311 272 01 Kladno Czech Republic

Department of Sustainable Technologies Faculty of Tropical AgriSciences Czech University of Life Sciences Prague Kamýcká 961 129 Prague 6 165 00 Prague Czech Republic

Department of Trade and Finance Faculty of Economics and Management Czech University of Life Sciences Prague Kamýcká 961 129 Prague 6 165 00 Prague Czech Republic

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