RANDOM FUZZY SETS: A MATHEMATICAL TOOL TO DEVELOP STATISTICAL FUZZY DATA ANALYSIS
2013; University of Sistan and Baluchestan; Volume: 10; Issue: 2 Linguagem: Inglês
10.22111/ijfs.2013.609
ISSN1735-0654
AutoresA Blanco Fernandez, María Rosa Casals, Ana Colubi, Norberto Corral, Marta García Bárzana, Marı́a Ángeles Gil, Gil González–Rodríguez, Marı́a Teresa López, Manuel Montenegro, Lubiano, Ana Belén Ramos-Guajardo, Sara de la Rosa de Sáa, Beatriz Sinova,
Tópico(s)Fuzzy Logic and Control Systems
ResumoData obtained in association with many real-life random experiments from different fields cannot be perfectly/exactly quantified.hspace{.1cm}Often the underlying imprecision can be suitably described in terms of fuzzy numbers/\values. For these random experiments, the scale of fuzzy numbers/values enables to capture more variability and subjectivity than that of categorical data, and more accuracy and expressiveness than that of numerical/vectorial data. On the other hand, random fuzzy numbers/sets model the random mechanisms generating experimental fuzzy data, and they are soundly formalized within the probabilistic setting.This paper aims to review a significant part of the recent literature concerning the statistical data analysis with fuzzy data and being developed around the concept of random fuzzy numbers/sets.
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