
Biological Models via Interval Type-2 Fuzzy Sets
Rosana Sueli da Motta / Amarillo Bertone Jafelice
Résumé
The coverage begins with a succinct review of type-1 fuzzy basic theory, before providing a comprehensive and didactic explanation of type-2 fuzzy set components. In turn, Fuzzy Rule-Based Systems, or FRBS, are shown for both types, interval type-2 and type-1 fuzzy sets.
Applications include the pharmacological models, prediction of prostate cancer stages, a model for HIV population transfer (asymptomatic to symptomatic), an epidemiological disease caused by HIV, some models in population growth, included the Malthus Model, and an epidemic model refers to COVID-19.
The book is ideally suited to graduate students in mathematics and related fields, professionals, researchers, or the public interested in interval type-2 fuzzy modeling. Largely self-contained, it can also be used as a supplementary text in specialized graduate courses.
Ana Maria Amarillo Bertone is an Associated Professor at the Federal University of Uberlandia, Brazil. She holds a PhD in Mathematics from the University of Brasilia, Brazil. Her research interests focus on fuzzy set theory and their applications.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Springer |
Auteur(s) | Rosana Sueli da Motta / Amarillo Bertone Jafelice |
Parution | 12/01/2021 |
Nb. de pages | 136 |
EAN13 | 9783030645298 |
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