European University Institute Library

Biological Models via Interval Type-2 Fuzzy Sets, by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone

Label
Biological Models via Interval Type-2 Fuzzy Sets, by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone
Language
eng
resource.imageBitDepth
0
Literary Form
non fiction
Main title
Biological Models via Interval Type-2 Fuzzy Sets
Medium
electronic resource
Nature of contents
dictionaries
Oclc number
1238205823
Responsibility statement
by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone
Series statement
SpringerBriefs in Mathematics,, 2191-8198Springer eBooks.
Summary
This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2 fuzzy sets and their application in biological modeling. Interval type-2 fuzzy modeling is a comparatively recent direction of research in fuzzy modeling. As the modeling of biological problems is inherently uncertain, the use of fuzzy sets in this field is a natural choice. 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.--, Provided by publisher
Table Of Contents
- Introduction -- A Tour of Type-1 and Interval Type-2 Fuzzy Sets Theory -- Interval Type-2 Fuzzy Rule-Based System Applications -- Interval Type-2 Fuzzy Sets in the Future: Scientific Projects for Development -- Index
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