Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/84551
Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Baležentienė, Ligita;Štreimikienė, Dalia;Baležentis, Tomas
Title: Fuzzy decision support methodology for sustainable energy crop selection
Is part of: Renewable and Sustainable Energy Reviews. , Vol. 17 (2013)
Extent: p. 83–93
Date: 2013
Keywords: Biomass production;Energy crop mix;Sustainable energy;Multi-criteria decision making;Fuzzy logics
Abstract: 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
Internet: https://doi.org/10.1016/j.rser.2012.09.016
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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