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

被引：51
作者：
Alcantud, J. C. R. [1 ,2 ]
de Andres Calle, R. [1 ,2 ]
Torrecillas, M. J. M. [3 ]
机构：
[1] Univ Salamanca, BORDA Res Unit, Salamanca 37007, Spain
[2] Univ Salamanca, IME, Salamanca 37007, Spain
[3] Univ Almeria, Dept Econ & Business, Almeria 04120, Spain
来源：
APPLIED SOFT COMPUTING | 2016年 / 38卷
关键词：
Multi attribute decision making; Hesitant fuzzy element; Hesitant fuzzy set; Ranking function; Score; Hesitant Fuzzy Worth; Metaranking of universities; Teaching performance assessments; DECISION-MAKING; AGGREGATION OPERATORS; DISTANCE; SETS;
D O I：
10.1016/j.asoc.2015.09.035
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：232 / 243
页数：12
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