Modern Research in Decision Making

Application of a dominance-based rough set approach in the interactive portfolio selection of carbon capture and storage technologies

Document Type : Original Article

Authors

Sanaz Sheikhtajian 1
Jafar Bagherinejad 2
Emran Mohammdi 3

1 PhD student, Department of Industrial Engineering, Faculty of Engineering and Technology, Al-Zahra University (S), Tehran, Iran.

2 Professor, Department of Industrial Engineering, Faculty of Engineering and Technology, Alzahra University (S), Tehran, Iran.

3 Associate Professor, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran.

Abstract
The urgent need to curb emissions has prompted governments worldwide to support green technologies, including carbon capture and utilization (CCUS). This study focuses on selecting an optimal portfolio of CCUS technologies for government incentives in Iran. Given the uncertainties in technological advancement, the proposed model integrates interactive optimization with dominance-based rough set theory to enhance transparency and objectivity in decision-making. Using data from the Power Research Institute of Iran, the model follows three steps: initial selection, extraction of decision-making rules, and iterative optimization. This approach identifies the best CCUS portfolio while ensuring a systematic and transparent decision-making process. The model refines decision-making rules by combining interactive optimization with the analytical power of rough set theory, making policy implementation more effective. The results show that this framework can streamline environmental policymaking, offering a structured way to allocate incentives. Its adaptability makes it useful for other domains beyond climate initiatives, ensuring governments can make well-informed, strategic decisions with clarity and precision.

Keywords

Interactive optimization
Dominance-based rough approach
Technological portfolio optimization
Carbon capture and utilization
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