Multi-Criteria Framework for Prioritizing Carbon Capture Performance Indicators Using Fermatean Fuzzy Decision Support
This study presents a multi-criteria framework for prioritizing performance indicators relevant to carbon capture technologies. It employs a hybrid Fermatean fuzzy decision support approach to evaluate and rank these indicators effectively.
Theia Market Signal Identification - AI Assisted
A multi-criteria framework utilizing a hybrid Fermatean fuzzy decision support approach has been developed to prioritize performance indicators for carbon capture technologies. The framework aims to assess various indicators comprehensively, enhancing decision-making in the carbon capture domain. The approach incorporates insights from existing literature on carbon capture storage and utilization, integrated techno-economic assessments, and interdisciplinary evaluations of energy policies and technologies.
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