| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 494860 | Applied Soft Computing | 2016 | 12 Pages |
•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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