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Fuzzy MCDM for ranking the biofuels production pathways  333


              5 Conclusion

              A fuzzy multicriteria decision making method was developed for sustainabil-
              ity ranking of biofuel production pathways, and the stakeholders/
              decision-makers are allowed to use linguistic variables to weigh the relative
              importance of the criteria for sustainability assessment and rate the alternative
              biofuel production pathways, and the opinions and preferences of
              the stakeholders/decision-makers can be effectively expressed by using fuzzy
              numbers. However, there are also some weak points in this study:
              (1) Some useful information and data cannot be effectively used, because
                 the relative performances of the alternative biofuel production path-
                 ways with respect to the evaluation were merely determined according
                 to the judgments of the stakeholders/decision-makers;
              (2) The relative importance of the evaluation criteria was assigned by the
                 stakeholders/decision-makers directly rather than in a comparison way,
                 thus, this may lead to some inaccurate judgments.
              The future work of the authors is to develop a multicriteria decision making
              method which can overcome the abovementioned two weak points for sus-
              tainability ranking of biofuel production pathways.


              Acknowledgments

              This method used in this study was based on Ren, J., Fedele, A., Mason, M., Manzardo, A.,
              Scipioni, A., 2013. Fuzzy multi-actor multi-criteria decision making for sustainability assess-
              ment of biomass-based technologies for hydrogen production. Int. J. Hydrog. Energy 38,
              9111–9120.



              References
              An, D., Xi, B., Wang, Y., Xu, D., Tang, J., Dong, L., Ren, J., Pang, C., 2016.
                 A sustainability assessment methodology for prioritizing the technologies of groundwater
                 contamination remediation. J. Clean. Prod. 112, 4647–4656.
              Avikal, S., Jain, R., Mishra, P., 2014. A Kano model, AHP and M-TOPSIS method-based
                 technique for disassembly line balancing under fuzzy environment. Appl. Soft Comput.
                 25, 519–529.
              Azadnia, A.H., Saman, M.Z.M., Wong, K.Y., 2014. Sustainable supplier selection and order
                 lot-sizing: an integrated multi-objective decision-making process. Int. J. Prod. Res.,
                 1–26.
              Bago cius, V., Zavadskas, E.K., Turskis, Z., 2014. Multi-person selection of the best wind
                 turbine based on the multi-criteria integrated additive-multiplicative utility function.
                 J. Civ. Eng. Manag. 20 (4), 590–599.
              Bajpai, S., Sachdeva, A., Gupta, J.P., 2010. Security risk assessment: applying the concepts of
                 fuzzy logic. J. Hazard. Mater. 173, 258–264.
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