Biological Models via Interval Type-2 Fuzzy Sets

£54.99

Biological Models via Interval Type-2 Fuzzy Sets

Set theory Computational biology / bioinformatics Computer modelling and simulation

Authors: Rosana Sueli da Motta Jafelice, Ana María Amarillo Bertone

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Collection: SpringerBriefs in Mathematics

Language: English

Published by: Springer

Published on: 12th January 2021

Format: LCP-protected ePub

Size: 27 Mb

ISBN: 9783030645304


Introduction to Type-2 Fuzzy Sets

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.

Coverage and Explanation

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

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.

Target Audience

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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