一种结合属性及方案偏好信息的化工系统可持续性决策框架

his paper aims to establish a novel sustainability decision-making mathematical framework for ranking the chemical systems under uncertainties that can combine both attribute and alternative preference information. In the developed mathematical framework, the Best-Worst (BW) method was employed to determine the local weights of the criteria according to the preference information on attributes, in which, the large number of the criteria was integrated into four aspects, i.e. environmental, economic, social-political and technological, in order to help the decision-makers to conveniently determine the preference information on alternative. Afterwards, a novel multi-criteria decision-making method based on the alternative preference information and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) approach was established to prioritize the sustainability ranking results of chemical systems. The effectiveness of the developed mathematical framework was verified by an illustrative case to assess the sustainability of five low-carbon routes for ammonia production. Finally, a sensitivity analysis was carried out to confirm the robustness of the developed mathematical model although the variation of the local weights can affect the final sustainability ranking results.