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Biological models via interval type-...
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Amarillo Bertone, Ana Maria.
Biological models via interval type-2 fuzzy sets
Record Type:
Electronic resources : Monograph/item
Title/Author:
Biological models via interval type-2 fuzzy setsby Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone.
Author:
Jafelice, Rosana Sueli da Motta.
other author:
Amarillo Bertone, Ana Maria.
Published:
Cham :Springer International Publishing :2021.
Description:
xviii, 136 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Biomathematics.
Online resource:
https://doi.org/10.1007/978-3-030-64530-4
ISBN:
9783030645304$q(electronic bk.)
Biological models via interval type-2 fuzzy sets
Jafelice, Rosana Sueli da Motta.
Biological models via interval type-2 fuzzy sets
[electronic resource] /by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone. - Cham :Springer International Publishing :2021. - xviii, 136 p. :ill., digital ;24 cm. - SpringerBriefs in mathematics,2191-8198. - SpringerBriefs in mathematics..
- Introduction -- A Tour of Type-1 and Interval Type-2 Fuzzy Sets Theory -- Interval Type-2 Fuzzy Rule-Based System Applications -- Interval Type-2 Fuzzy Sets in the Future: Scientific Projects for Development -- Index.
This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2 fuzzy sets and their application in biological modeling. Interval type-2 fuzzy modeling is a comparatively recent direction of research in fuzzy modeling. As the modeling of biological problems is inherently uncertain, the use of fuzzy sets in this field is a natural choice. The coverage begins with a succinct review of type-1 fuzzy basic theory, before providing a comprehensive and didactic explanation of type-2 fuzzy set components. In turn, Fuzzy Rule-Based Systems, or FRBS, are shown for both types, interval type-2 and type-1 fuzzy sets. Applications include the pharmacological models, prediction of prostate cancer stages, a model for HIV population transfer (asymptomatic to symptomatic), an epidemiological disease caused by HIV, some models in population growth, included the Malthus Model, and an epidemic model refers to COVID-19. The book is ideally suited to graduate students in mathematics and related fields, professionals, researchers, or the public interested in interval type-2 fuzzy modeling. Largely self-contained, it can also be used as a supplementary text in specialized graduate courses.
ISBN: 9783030645304$q(electronic bk.)
Standard No.: 10.1007/978-3-030-64530-4doiSubjects--Topical Terms:
212374
Biomathematics.
LC Class. No.: QH323.5 / .J344 2021
Dewey Class. No.: 570.151
Biological models via interval type-2 fuzzy sets
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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.
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