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dc.contributor.authorCobuloglu, Halil I.
dc.contributor.authorBueyuektahtakin, I. Esra
dc.date.accessioned2015-06-18T18:23:40Z
dc.date.available2015-06-18T18:23:40Z
dc.date.issued2015-09
dc.identifier.citationCobuloglu, Halil I.; Bueyuektahtakin, I. Esra. 2015. A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Systems with Applications, vol. 42:no. 15–16, September 2015:pp 6065–6074en_US
dc.identifier.issn0957-4174
dc.identifier.otherWOS:000355063700006
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2015.04.006
dc.identifier.urihttp://hdl.handle.net/10057/11297
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractSelecting the most sustainable biomass crop type for biofuel production is a multi-criteria decision-making (MCDM) problem involving various conflicting criteria. In this paper, we propose a unique stochastic analytical hierarchy process (AHP) that can handle uncertain information and identify weights of criteria in the MCDM problem. By utilizing the beta distribution and approximating its median, we convert various types of expert evaluations including imprecise values into crisp values. We ensure consistency in each evaluation matrix before aggregating expert judgments. We then demonstrate use of the model by applying it to sustainable biomass crop selection. In order to define a comprehensive list of the selection criteria, we utilize the existing literature and opinions of experts including farmers, government specialists from the U.S. Department of Agriculture (USDA), and faculty members in the areas of biomass and bioenergy. The evaluation model includes three main sustainability criteria defined as economic, environmental, and social aspects associated with a total of 16 sub-criteria. We apply the proposed model to biomass alternatives including switchgrass, Miscanthus, sugarcane, corn, and wheat in Kansas. Results show the weights of economic, environmental, and social aspects to be 0.59, 0.26, and 0.15, respectively. The sensitivity analysis indicates that the score of switchgrass increases if environmental criteria are emphasized. On the other hand, wheat and corn become more favorable than other alternatives if priority is given to economic factors. The most sustainable biomass sources in different regions can be determined by applying the presented selection hierarchy. The proposed stochastic AHP methodology can also be utilized for other complex multi-criteria decision-making problems with uncertain information and multiple stakeholders.en_US
dc.description.sponsorshipNational Science Foundation under Grant No. EPS-0903806 and the state of Kansas through the Kansas Board of Regents.en_US
dc.language.isoen_USen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofseriesExpert Systems with Applications;v.42:no.15-16
dc.subjectMulti-criteria decision analysis (MCDA)en_US
dc.subjectStochastic AHPen_US
dc.subjectBiofuel productionen_US
dc.subjectBiomass cropen_US
dc.subjectSustainabilityen_US
dc.subjectEconomicen_US
dc.subjectEnvironmental and social factorsen_US
dc.titleA stochastic multi-criteria decision analysis for sustainable biomass crop selectionen_US
dc.typeArticleen_US
dc.rights.holder(C) 2015 Elsevier Ltd. All rights reserved.


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