Journal
APPLIED SOFT COMPUTING
Volume 38, Issue -, Pages 232-243Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2015.09.035
Keywords
Multi attribute decision making; Hesitant fuzzy element; Hesitant fuzzy set; Ranking function; Score; Hesitant Fuzzy Worth; Metaranking of universities; Teaching performance assessments
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Funding
- Spanish Ministerio de Ciencia e Innovacion [ECO2012-31933, ECO2012-32178, CGL2008-06003-C03-03/CLI]
- Junta de Andalucia Project [P09-SEJ-05404]
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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. (C) 2015 Elsevier B.V. All rights reserved.
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