Hesitant Fuzzy Worth: An innovative ranking methodology for hesitant fuzzy subsets

• Published in: Applied soft computing Vol. 38; pp. 232 - 243
• Main Authors: Alcantud, J.C.R., de Andrés Calle, R., Torrecillas, M.J.M.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2016
• Subjects: Hesitant fuzzy element; Hesitant fuzzy set; Hesitant Fuzzy Worth; Metaranking of universities; Multi-attribute decision making; Ranking function; Score; Teaching performance assessments; Hesitant Fuzzy Worth; Score; Hesitant fuzzy element; Ranking function; Hesitant fuzzy set; Teaching performance assessments; Multi-attribute decision making; Metaranking of universities
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2015.09.035

[Display omitted] •Innovative methodology for ranking hesitant fuzzy sets based on Social Choice.•Novel application 1: real problem of ranking universities via metarankings.•Novel application 2: procedure for improving teaching performance assessments.•New justification of the theoretical model by hesitant fuzzy sets. We introduce a novel methodology for ranking hesitant fuzzy sets. It builds on a recent, theoretically sound contribution in Social Choice. In order to justify the applicability of such analysis, we develop two real implementations: (i) new metarankings of world academic institutions that build on real data from three reputed agencies, and (ii) a new procedure for improving teaching performance assessments which we illustrate with real data collected by ourselves.