1,721,000 research outputs found
F-FOD: Fuzzy First Order Dominance Analysis and Populations Ranking Over Ordinal Multi-Indicator Systems
No full textIn this paper, we develop a new statistical procedure for the comparison of frequency distributions on systems of ordinal indicators, based on a multidimensional fuzzy extension of the first order dominance (FOD) criterion. The procedure, named fuzzy-first order dominance (F-FOD), employs concepts and tools from partially ordered set theory and from fuzzy relational calculus and is designed to overcome the main limitations of previously developed algorithms for FOD analysis. In particular, F-FOD produces full pairwise comparison matrices, allows for partial orderings and rankings of the statistical units to be derived from the input data, is computationally sufficiently light to be applied in most cases of practical interest and is freely available in the R package PARSEC. To illustrate its effectiveness, we also show F-FOD in action on two real datasets concerning health in Denmark and child well-being in the Democratic Republic of Congo
Intensità e struttura della disuguaglianza nel benessere individuale in Italia
No full textIntensità e struttura della disuguaglianza nel benessere individuale in Italia misurata e analizzata attraverso l'approccio POSET
Comparing wellbeing patterns in Italian society: a new methodological approach for synthesizing indicators
No full textComparing wellbeing patterns in Italian society: a new methodological approach for synthesizing indicator
A reduced posetic approach to the measurement of multidimensional ordinal deprivation
No full textIn this paper, we 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 multidimensional ordinal deprivation. The proposal is motivated by the need to lessen the computational complexity of the original posetic procedure described in Fattore (Soc Indic Res 128(2):835–858, 2015), so as to make it applicable to larger multi-indicator systems, particularly to those comprising many variables scored on ‘‘short’’ scales, as typical in deprivation studies. The reduced procedure computes identification and severity functions based only on so-called lexicographic linear extensions. These are a particular generating system for the basic achievement poset, naturally associated to rankings of deprivation attributes. After motivating this choice, both from an interpretative and a computational point of view, the paper provides some simulated examples, comparing the reduced and the non-reduced procedure
A New Method For Measuring and Analyzing Suffering. Comparing Suffering in Italian Society
No full textIn this study, we introduce an innovative methodology for fuzzy measuring multidimensional subjective suffering, based on ordinal data. We apply the methodology to data about suffering in Italy, for years 2007 and 2010. The analysis reveals the existence of different suffering levels across the Countryand between males and females. Interestingly, the temporal dynamics of subjective suffering suggests that people living in economically more developed regions worsen their self-perception, across the beginning of the economic crisis
Structural and non-structural temporal evolution of socio-economic real networks
No full textIn this paper, we show that a comprehensive analysis of temporal network evolution requires to consider measures of non-structural changes, in addition to classical topological indicators. We employ a recently proposed measure of non-structural dynamics, together with other structural indicators, to analyze the time evolution of three subnetworks, extracted from the Italian corporate board network. Consistently with recent literature, we show that, to different extent, both structural and non-structural changes are present and must be accounted for, in order to get a satisfactory description of their temporal evolution
Using mutual ranking probabilities for dimensionality reduction and ranking extraction in multidimensional systems of ordinal variables
No full textIn this paper, we address the extraction of rankings from multi-indicator systems, as a problem of approximation between the so-called “mutual ranking probability” matrices, associated to the partial order relations derived from the data. After providing a theoretical treatment of the topic, we propose a practical algorithm for ranking extraction and show it in action on a real example, pertaining to regional competitivenes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Minimal flow and half-closed system ventilation in lung surgery
No full textThis study aimed at determining the applicability of minimal flow anaesthesia in lung surgery
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