Sustainability prioritization of sewage sludge to energy scenarios with hybrid-data consideration: a fuzzy decision-maki
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RESEARCH ARTICLE
Sustainability prioritization of sewage sludge to energy scenarios with hybrid-data consideration: a fuzzy decision-making framework based on full consistency method and fusion ranking model Chengli Tang 1 & Di Xu 2
&
Nicheng Chen 1
Received: 20 January 2020 / Accepted: 16 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract 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 hybriddata 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. Keywords Sustainable sludge treatment . Decision support system . Multi-criteria analysis . Multi-source data integration . Uncertainty
Abbreviations AHP AD BWM CINC DEMATEL FUCOM GWP
Analytic hierarchy process Anaerobic digestion Best-worst method Co-incineration in cement kilns Decision making trial and evaluation laboratory Full consistency method Global warming potential
Responsible Editor: Ta Yeong Wu Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11356-020-10544-2) contains supplementary material, which is available to authorized users.
GRA LCA LCC MCDM PRSRV SCWO SCWG SS SStE SWM TFN TOPSIS WWTPs
Grey relation analysis Life cycle assessment Life cycle costing Multi-criteria decision-making Projection ranking by similarity to referencing vector Supercritical water oxidation Supercritical water gasification Sewage sludge Sewage sludge to energy Sum weighted method Triangular fuzzy number Technique for order of preference by similarity to ideal solution Wastewater treatment plants
* Di Xu [email protected]; [email protected]
Introduction 1
Department of Chemical Engineering, Chongqing Chemical Industry Vocational College, Chongqing 401220, China
2
School of Chemistry and Chemical Engineering, Chongqing University of Science & Technology, Chongqing 401331, China
Population growth and rapid urbanization in the world result in the rise of the capacity of the wastewater treatment plants (WWTPs), and then of the sewage sludge
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