A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems

被引：0
|
作者：
Fattore, Marco [1 ]
De Capitani, Lucio [1 ]
Avellone, Alessandro [1 ]
Suardi, Andrea [2 ]
机构：
[1] Univ Milano Bicocca, Piazza Ateneo Nuovo 1, I-20126 Milan, Italy
[2] Univ Padua, Padua, Italy
来源：
ANNALS OF OPERATIONS RESEARCH | 2024年
关键词：
Fuzzy logic; Multi-dimensional poverty; Multi-dimensional ordinal data; Partial order theory; Poset; Ranking; Synthetic indicators; AVERAGED RANKS; INDICATORS; SETS;
D O I：
10.1007/s10479-024-06352-3
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
The paper develops a general and flexible toolbox for implementing multi-criteria evaluation processes and for computing synthetic indicators and rankings, on multi-dimensional systems of ordinal variables. It integrates partial order theory and fuzzy logic, into a general procedure that can be tuned to different application domains and evaluation problems, fully respecting the non-numerical and multi-faceted nature of the data. The toolbox is shown in action in the domain of multi-dimensional deprivation assessment, on real data pertaining to poverty in Belize.
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页数：27
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