<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/70928">
      <dc:title>A Fuzzy Delphi Consensus Methodology Based on a Fuzzy Ranking</dc:title>
      <dc:creator>Roldán López de Hierro, Antonio Francisco</dc:creator>
      <dc:creator>Sánchez Maldonado, Miguel</dc:creator>
      <dc:creator>Puente Fernández, Daniel</dc:creator>
      <dc:creator>Montoya Juárez, Rafael</dc:creator>
      <dc:creator>Roldán López Del Hierro, Concepción Beatriz</dc:creator>
      <dc:subject>Fuzzy Delphi method</dc:subject>
      <dc:subject>Fuzzy number</dc:subject>
      <dc:subject>Ranking</dc:subject>
      <dc:subject>Consensus</dc:subject>
      <dc:subject>Experts’ opinions</dc:subject>
      <dc:description>Delphi multi-round survey is a procedure that has been widely and successfully used&#xd;
to aggregate experts’ opinions about some previously established statements or questions. Such&#xd;
opinions are usually expressed as real numbers and some commentaries. The evolution of the&#xd;
consensus can be shown by an increase in the agreement percentages, and a decrease in the number&#xd;
of comments made. A consensus is reached when this percentage exceeds a certain previously set&#xd;
threshold. If this threshold has not been reached, the moderator modifies the questionnaire according&#xd;
to the comments he/she has collected, and the following round begins. In this paper, a new fuzzy&#xd;
Delphi method is introduced. On the one hand, the experts’ subjective judgments are collected as&#xd;
fuzzy numbers, enriching the approach. On the other hand, such opinions are collected through a&#xd;
computerized application that is able to interpret the experts’ opinions as fuzzy numbers. Finally,&#xd;
we employ a recently introduced fuzzy ranking methodology, satisfying many properties according&#xd;
to human intuition, in order to determine whether the expert’s fuzzy opinion is favorable enough&#xd;
(comparing with a fixed fuzzy number that indicates Agree or Strongly Agree). A cross-cultural&#xd;
validation was performed to illustrate the applicability of the proposed method. The proposed&#xd;
approach is simple for two reasons: it does not need a defuzzification step of the experts’ answers,&#xd;
and it can consider a wide range of fuzzy numbers not only triangular or trapezoidal fuzzy numbers.</dc:description>
      <dc:date>2021-10-18T10:01:31Z</dc:date>
      <dc:date>2021-10-18T10:01:31Z</dc:date>
      <dc:date>2021</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:identifier>Roldán López de Hierro, A.F.; Sánchez, M.; Puente-Fernández, D.; Montoya-Juárez, R.; Roldán, C. A Fuzzy Delphi Consensus Methodology Based on a Fuzzy Ranking. Mathematics 2021, 9, 2323. https://doi.org/10.3390/math9182323</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/70928</dc:identifier>
      <dc:identifier>10.3390/math9182323</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:rights>Atribución 3.0 España</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
</rdf:RDF>