2018
DOI: 10.1016/j.jclepro.2018.06.037
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Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets

Abstract: Environmental issues have been worldwide matters of concern especially in the recent decade and have made many firms implement end-of-life strategies such as remanufacturing. In prior studies, the supply side of remanufacturing supply chain has been vastly brought into focus compared to the demand side. Motivational factors that encourage consumers to purchase remanufactured products are getting firms attentions in developing effective marketing strategies to assist them being more productive in the current co… Show more

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Cited by 88 publications
(53 citation statements)
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“…Furthermore, FDM also supports the identification of differences of opinion among experts. FDM is more appropriate in a context in which the key factors have to be filtered for further analysis (Vafadarnikjoo, Mishra, Govindan, & Chalvatzis, ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Furthermore, FDM also supports the identification of differences of opinion among experts. FDM is more appropriate in a context in which the key factors have to be filtered for further analysis (Vafadarnikjoo, Mishra, Govindan, & Chalvatzis, ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Smarandache (2005) elaborated on the differences between the NS and the IFS theories. The neutrosophic set can independently quantify truth-membership (or membership), indeterminacy-membership, and falsity-membership (or non-membership) functions (Vafadarnikjoo et al, 2018;Ye, 2014). Govindan et al (2015) have reviewed some fundamental definitions of the IFS theory, and intuitionistic fuzzy numbers.…”
Section:  mentioning
confidence: 99%
“…Likewise what was said [20] that fuzzy can be used as a method in developing DSM based on gray and unexplained human language. The application of fuzzy methods is done because of its ability to capture uncertainty [21]. FL describes the variables that are the most unclear so that it can help in estimating reasons [22].…”
Section: Fuzzy Logic (Fl)mentioning
confidence: 99%