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Biological Models via Interval Type-2 Fuzzy Sets

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biological Models via Interval Type-2 Fuzzy Sets/ by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone.
Author:	Jafelice, Rosana Sueli da Motta.
other author:	Amarillo Bertone, Ana Maria.
Description:	XVIII, 136 p. 90 illus., 87 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-64530-4
ISBN:	9783030645304

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. - 1st ed. 2021. - XVIII, 136 p. 90 illus., 87 illus. in color.online resource. - SpringerBriefs in Mathematics,2191-8201. - 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

Standard No.: 10.1007/978-3-030-64530-4doiSubjects--Topical Terms:

527725
Biomathematics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.285

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