Using fuzzy numbers to propagate uncertainty in matrix-based LCI

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Recent developments in Life Cycle Assessment. (2009, background): “Especially on fuzzy set theory, advances have been reported the last few years by, amongst others Mauris et al. (2001), Benetto et al. (2006), Seppälä (2007), and Tan (2008).”
Sensitivity coefficients for matrix-based LCA (2010, background): “(see Tables 1 and 2 for an explanation of the symbols involved) are now common in the specialized literature on life cycle inventory (LCI; Heijungs and Suh 2002; Peters 2007; Tan 2008).”
Fuzzy input–output model for optimizing eco-industrial supply chains under water footprint constraints (2011, background): “Recent applications of fuzzy concepts in life cycle based optimization models have also been reported (Tan, 2008; Tan et al., 2008, 2009c).”
Stochastic and epistemic uncertainty propagation in LCA (2013, methodology): “Tan (2008) formalised the integration of fuzzy intervals into a matrix-based LCI model, supported later by a mathematical proof by Heijungs and Tan (2010).”