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Fuzzy decision support methodology for sustainable energy crop selection


  • Balezentiene, Ligita
  • Streimikiene, Dalia
  • Balezentis, Tomas


Both strategic and environmental factors make biomass an important energy source and element of sustainable energy policy. The establishment of a reasonable energy crop-mix, indeed, involves various uncertain data. This paper, therefore, offers a multi-criteria decision making framework for prioritization of energy crops based on fuzzy MULTIMOORA method which enables to tackle imprecise information. Given the appropriate energy crop-mix should exhibit both climatic suitability and low environmental pressure, we have defined the indicator set covering respective linguistic and numeric indicators. Accordingly, the set of alternatives were constructed from energy crops suitable for the Lithuanian climate. The fuzzy MULTIMOORA method was employed for data fusion and prioritization. As a result, the prospective species for energy crop-mix were suggested.

Suggested Citation

  • Balezentiene, Ligita & Streimikiene, Dalia & Balezentis, Tomas, 2013. "Fuzzy decision support methodology for sustainable energy crop selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 83-93.
  • Handle: RePEc:eee:rensus:v:17:y:2013:i:c:p:83-93
    DOI: 10.1016/j.rser.2012.09.016

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    References listed on IDEAS

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    1. Abbas Mardani & Ahmad Jusoh & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Zainab Khalifah, 2015. "Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches," Sustainability, MDPI, Open Access Journal, vol. 7(10), pages 1-38, October.
    2. Paul, Swarup & Sarkar, Bijan & Bose, P.K., 2015. "Eclectic decision for the selection of tree borne oil (TBO) as alternative fuel for internal combustion engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 256-263.
    3. Raslavičius, Laurencas & Kučinskas, Vytautas & Jasinskas, Algirdas, 2013. "The prospects of energy forestry and agro-residues in the Lithuania's domestic energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 419-431.
    4. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    5. Farhat, Maissa & Barambones, Oscar & Sbita, Lassaâd, 2015. "Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 907-920.
    6. Liu, Hu-Chen & You, Jian-Xin & Lu, Chao & Chen, Yi-Zeng, 2015. "Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 932-942.
    7. Ramachandran, K. & Suganya, T. & Nagendra Gandhi, N. & Renganathan, S., 2013. "Recent developments for biodiesel production by ultrasonic assist transesterification using different heterogeneous catalyst: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 410-418.
    8. Hsueh, Sung-Lin, 2015. "Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1286-1295.
    9. Zafeiriou, Eleni & Petridis, Konstantinos & Karelakis, Christos & Arabatzis, Garyfallos, 2016. "Optimal combination of energy crops under different policy scenarios; The case of Northern Greece," Energy Policy, Elsevier, vol. 96(C), pages 607-616.
    10. Mousavi, M. & Gitinavard, H. & Mousavi, S.M., 2017. "A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 774-787.
    11. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    12. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.


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