2013
DOI: 10.1016/j.jclepro.2013.06.061
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A fuzzy-based approach for characterization of uncertainties in emergy synthesis: an example of paved road system

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Cited by 34 publications
(17 citation statements)
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“…For this study, we use centroid method that a center of a triangle is set as a defuzzified value. In emergy studies, the Fuzzy theory has been introduced for decisionmaking optimization [34] and uncertainty propagation [35].…”
Section: Fuzzy Set Theorymentioning
confidence: 99%
“…For this study, we use centroid method that a center of a triangle is set as a defuzzified value. In emergy studies, the Fuzzy theory has been introduced for decisionmaking optimization [34] and uncertainty propagation [35].…”
Section: Fuzzy Set Theorymentioning
confidence: 99%
“…Techniques such as artificial neural networks (Kim et al, 2004;Lee, 2003), evolutionary algorithms (Jayarama et al, 2009;Nazari, 2013;Tsai and Lin, 2011), fuzzy sets and systems (Bohlooli et al, 2012;Demir, 2005), hybrid systems (Akkurt et al, 2004;Reza et al, 2013) are just a few ex-amples among others.…”
Section: Research Significancementioning
confidence: 99%
“…Wesley et al constructed an uncertainty model based on lognormal distribution to reduce the error caused by emergy calculation and data error, which provided a reference for determining the main factors that affect uncertainties [80]. Reza et al used fuzzy set theory to evaluate the uncertainty of UEV and discussed effects caused by different uncertainty sources in assessment and the decision-making field [81].…”
Section: Sensitivity Analysis and Uncertainty Analysismentioning
confidence: 99%