Cross-Entropy-Driven Optimization of Triangular Fuzzy Neutrosophic MADM for Environmental Impact Evaluation of Petrochemical Construction Projects

Hailing Chen, Yuqi Zhang and Xi Xie
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Hailing Chen: School of Biological and Chemical Engineering, Nanyang Institute of Technology, Nanyang, China & State Key Laboratory of Motor Vehicle Biofuel Technology, Henan Tianguan Enterprise Group Co., LTD, Nanyang, China
Yuqi Zhang: School of Civil Engineering, University of Sydney, Sydney, Australia
Xi Xie: School of Arts and Design, Anhui University of Technology, Maanshan, China

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2025, vol. 16, issue 1, 1-19

Abstract: The Environmental Impact Evaluation (EIE) of petrochemical construction projects is a critical process to evaluate potential environmental effects caused by project activities. The EIE of petrochemical construction projects is inherently a complex multi-attribute decision-making (MADM) problem due to the need to balance these diverse factors. To address this complexity, this study applies the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) approach, which operates within the framework of triangular fuzzy neutrosophic sets (TFNSs). TFNSs provide a robust mathematical tool to handle uncertainty and imprecision, which are often present in decision-making processes related to environmental design. To demonstrate the TFNN-CE approach, a numerical example is presented. The example highlights how this method outperforms other techniques in terms of providing a nuanced, reliable, and adaptable evaluation framework. The results showcase the TFNN-CE approach's ability to guide decision-makers in assessing the environmental impact of petrochemical construction projects.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:16:y:2025:i:1:p:1-19

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