A
Alberto Arcagni
Researcher at Sapienza University of Rome
Publications - 38
Citations - 346
Alberto Arcagni is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Ordinal data & Computer science. The author has an hindex of 11, co-authored 35 publications receiving 251 citations. Previous affiliations of Alberto Arcagni include University of Milano-Bicocca & University of Milan.
Papers
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Journal ArticleDOI
Synthesis of Multi-indicator System Over Time: A Poset-based Approach
Leonardo Salvatore Alaimo,Leonardo Salvatore Alaimo,Alberto Arcagni,Marco Fattore,Filomena Maggino +4 more
TL;DR: This paper proposes a method of synthesizing multi-indicator systems over time based on the Partial Order Theory and compares it to an aggregative method, the Adjusted Mazziotta–Pareto Index, to one of the 15 sustainable development goals.
Journal ArticleDOI
Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps
TL;DR: In this article, a multidimensional fuzzy analysis of the levels and the patterns of poverty and social fragility of migrants' families, in the Italian region of Lombardy, in year 2014, was presented.
Journal ArticleDOI
Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach
Leonardo Salvatore Alaimo,Leonardo Salvatore Alaimo,Alberto Arcagni,Marco Fattore,Filomena Maggino,Valeria Quondamstefano +5 more
TL;DR: In this paper, the authors adopt a non-aggregative approach to synthesis, based on Partially Ordered Set Theory (POSet Theory), and show how it can be used to provide more complexity-preserving insights into well-being.
Book ChapterDOI
PARSEC: An R Package for Poset-Based Evaluation of Multidimensional Poverty
Marco Fattore,Alberto Arcagni +1 more
TL;DR: The paper briefly sketches the two evaluation methodologies, illustrates the structure and the main functionalities of PARSEC, and provides some examples of its use.
Journal ArticleDOI
A Reduced Posetic Approach to the Measurement of Multidimensional Ordinal Deprivation
Marco Fattore,Alberto Arcagni +1 more
TL;DR: In this article, the authors discuss the existence of particular systems of generators for posets associated to multidimensional systems of ordinal indicators and derive a reduced posetic procedure for the measurement of multiddimensional ordinal deprivation.