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Biological Models via Interval Type-2 Fuzzy Sets / by Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone
(SpringerBriefs in Mathematics. ISSN:21918201)
版 | 1st ed. 2021. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2021 |
大きさ | XVIII, 136 p. 90 illus., 87 illus. in color : online resource |
著者標目 | *Jafelice, Rosana Sueli da Motta author Amarillo Bertone, Ana Maria author SpringerLink (Online service) |
件 名 | LCSH:Biomathematics LCSH:Set theory LCSH:Computer simulation FREE:Mathematical and Computational Biology FREE:Set Theory FREE:Computer Modelling |
一般注記 | - 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 HTTP:URL=https://doi.org/10.1007/978-3-030-64530-4 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783030645304 |
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EB00200550 |
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データ種別 | 電子ブック |
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分 類 | LCC:QH323.5 LCC:QH324.2-324.25 DC23:570.285 |
書誌ID | 4000135571 |
ISBN | 9783030645304 |