Department of Chemical Engineering, Chongqing Chemical Industry Vocational College, Chongqing, 401220, China.
School of Chemistry and Chemical Engineering, Chongqing University of Science & Technology, Chongqing, 401331, China.
Environ Sci Pollut Res Int. 2021 Feb;28(5):5548-5565. doi: 10.1007/s11356-020-10544-2. Epub 2020 Sep 24.
This work proposed a novel mathematical framework for the sustainability assessment of sewage sludge to energy (SStE) scenarios, by resorting to fuzzy multi-criteria decision-making (MCMD) methods. In which, an evaluation system including twelve criteria from four dimensions was introduced, while the fuzzy triangular number (TFN) was used to address the hybrid-data issue in the decision-making. More importantly, four fuzzy MCDM methods were used to make the following methodological contributions: (1) the fuzzy full consistency method (FUCOM) was extended into uncertain conditions to determine the weights easily and reliably, which preserves the consistency in ambiguous, subjective judgments; (2) a novel TFN-based fusion ranking model was developed by aggregating three fuzzy MCDM approaches, which not only takes the hybrid data as input information for decision-making (by combining the TFN) but also promotes the confidence in final prioritization (by reconciling different sequences). Four illustrative SStE scenarios were studied to test the feasibility of the model. Besides, the effectiveness and advantages of the model were verified by results comparison and discussion.
本研究提出了一种新颖的污水污泥能源化（SStE）可持续性评估的数学框架，采用模糊多准则决策（MCMD）方法。其中，引入了一个包含四个维度 12 个标准的评价体系，同时采用模糊三角数（TFN）来解决决策中的混合数据问题。更重要的是，使用了四种模糊 MCDM 方法来做出以下方法学贡献：（1）将模糊完全一致性方法（FUCOM）扩展到不确定条件下，以便在模糊、主观判断中轻松可靠地确定权重，保留一致性；（2）通过整合三种模糊 MCDM 方法，开发了一种基于 TFN 的融合排序模型，它不仅将混合数据作为决策的输入信息（通过组合 TFN），而且通过协调不同的序列来提高最终优先级排序的可信度。研究了四个说明性的 SStE 情景来测试模型的可行性。此外，通过结果比较和讨论验证了模型的有效性和优势。
