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

• 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.

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