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.

引用

页数：27

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