Carbon performance rating evaluation method for thermal power enterprises based on fuzzy-AHP

Jing Zhang, Zhengyang Peng, Hui Li and Xin Wen

International Journal of Environmental Technology and Management, 2025, vol. 28, issue 4/5/6, 298-311

Abstract: The shortcomings of traditional data processing techniques, characterised by their inherent uncertainty and ambiguity, give rise to flawed assessments of thermal power companies' carbon efficiency. Consequently, there is a pressing need for an innovative evaluation approach that leverages the fuzzy-AHP methodology. This method begins by scrutinising the essence of carbon performance metrics and the structural framework of thermal power businesses. It then proceeds to construct a comprehensive set of evaluation indicators for carbon performance. The fuzzy-AHP technique is employed to hierarchically organise the evaluation levels of carbon performance for thermal power enterprises. By integrating the weights of individual indicators and utilising a fuzzy evaluation matrix, this method calculates a cumulative carbon performance score, facilitating the comprehensive evaluation process. Experimental outcomes reveal that this method achieves an impressive accuracy rate of up to 98%, while simultaneously reducing the evaluation duration significantly.

Keywords: fuzzy-AHP; thermal power enterprises; carbon performance; grade evaluation. (search for similar items in EconPapers)
Date: 2025
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