A Fuzzy Delphi Consensus Methodology Based on a Fuzzy Ranking
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AutorRoldán López de Hierro, Antonio Francisco; Sánchez Maldonado, Miguel; Puente Fernández, Daniel; Montoya Juárez, Rafael; Roldán López Del Hierro, Concepción Beatriz
Fuzzy Delphi methodFuzzy numberRankingConsensusExperts’ opinions
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
Delphi multi-round survey is a procedure that has been widely and successfully used to aggregate experts’ opinions about some previously established statements or questions. Such opinions are usually expressed as real numbers and some commentaries. The evolution of the consensus can be shown by an increase in the agreement percentages, and a decrease in the number of comments made. A consensus is reached when this percentage exceeds a certain previously set threshold. If this threshold has not been reached, the moderator modifies the questionnaire according to the comments he/she has collected, and the following round begins. In this paper, a new fuzzy Delphi method is introduced. On the one hand, the experts’ subjective judgments are collected as fuzzy numbers, enriching the approach. On the other hand, such opinions are collected through a computerized application that is able to interpret the experts’ opinions as fuzzy numbers. Finally, we employ a recently introduced fuzzy ranking methodology, satisfying many properties according to human intuition, in order to determine whether the expert’s fuzzy opinion is favorable enough (comparing with a fixed fuzzy number that indicates Agree or Strongly Agree). A cross-cultural validation was performed to illustrate the applicability of the proposed method. The proposed approach is simple for two reasons: it does not need a defuzzification step of the experts’ answers, and it can consider a wide range of fuzzy numbers not only triangular or trapezoidal fuzzy numbers.