Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios

Simone Di Zio, Mario Bolzan and Marco Marozzi

Technological Forecasting and Social Change, 2021, vol. 173, issue C

Abstract: This paper proposes a method for generating robust ranks of Delphi projections, which are particularly suitable as input for clustering algorithms. The resulting clusters can be used for the construction of Delphi-based scenarios. The method is very flexible and can be applied to the classification of any variable derived from subjective judgments. In the analysis and interpretation of the results of a Delphi, a series of problems emerge related to the use of the concept of distance. The use of robust ranks allows us to overcome these problems.

Keywords: Delphi-based scenario; Expertise; Monte Carlo methods; Robust ranking; Fuzzy clustering (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005734

DOI: 10.1016/j.techfore.2021.121140

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