<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/EDF1A018-F94B-48CE-AE9B-7BA4350BCAFE"><efrbr-work:titleOfTheWork>Fuzzy assessment of material recyclability and its applications
</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/EDF1A018-F94B-48CE-AE9B-7BA4350BCAFE"><efrbr-expression:titleOfTheExpression>Fuzzy assessment of material recyclability and its applications
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            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-07</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2009</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>A method to assess material recyclability using fuzzy logic is presented. Recyclability of materials is defined as a function of several variables, called basic indicators, which influence the technology and economics of the recycling processes, policies related to recycling, quality of recycled materials, and environmental impact of waste. Using a hierarchical network of fuzzy inference engines, the basic indicators are aggregated into more composite components of recyclability from which an overall recyclability measure is computed. A sensitivity analysis with respect to indicators identifies those components affecting the overall recyclability the most. Recyclabilities of three metals and three non-metals of high economic and industrial importance are assessed using this method.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Journal of Intelligent and Robotic Systems</efrbr-expression:note><efrbr-expression:note type="journal volume">1</efrbr-expression:note><efrbr-expression:note type="journal number">55</efrbr-expression:note><efrbr-expression:note type="page range">21-38</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~vkouikoglou"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Kouikoglou Vasilis
            Κουϊκογλου Βασιλης
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            Yannis Phillis
            Φιλλης Ιωαννης
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            Xiaomin Zhu
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            Springer Verlag
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            Recyclability
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