Fuzzy-Set Coincidence Analysis: the Hidden Asymmetries

نویسنده

  • Camilla Borgna
چکیده

Despite being conceptually and algebraically straightforward, set coincidence has never received great attention within the framework of set-relational research, which has essentially focused on subset/superset relations. In this article, I advance a novel procedure called fuzzy-set coincidence analysis to systematically assess the degree of overlapping of two or multiple sets. Individual-level analyses, and those in social stratification in particular, are deemed to be a fertile field to apply fuzzy-set coincidence analysis. A main comparative advantage with respect to statistical techniques lies in its ability to uncover hidden asymmetrical patterns. This will be shown with an empirical application that explores patterns of overlapping inequalities for students of different migratory

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تاریخ انتشار 2013