Energy crops are positioned as the most promising renewable energy sources. They are specifically targeted at the production of biofuels (solid, liquid and gaseous) and the development of vegetal products with specific attributes that make them suitable for industrial processing and transformation into energy. Over recent years the use of biomass has been growing significantly, especially in countries that have made a strong commitment to renewable sources in their energy policies. One of the aspects of the use of biomass for energy purposes that is still controversial with regard to full environmental sustainability. Considering the crucial importance of this problem, numerous authors have carried out evaluations of the environmental impact of the various types of biomass by means of several approaches. Although some of these methods are excellent environmental evaluation tools they are unfortunately unable to manage uncertain input data. Fuzzy set-based methods have proved to be able to deal with uncertainty in environmental topics. A fuzzy inference system (FIS) is the practice of formulating mapping from the input to an output using fuzzy logic. This approach offers a solution to the problem of human interpretation (data expertise, etc.). The idea is to reproduce a solution by decoding it from the domain of knowledge with the calculus of fuzzy ‘if-then’ rules. A methodology based on fuzzy inference systems (FIS) is proposed to assess the environmental sustainability of biomass
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