| 期刊全稱 | Biological Models via Interval Type-2 Fuzzy Sets | | 影響因子2023 | Rosana Sueli da Motta Jafelice,Ana Maria Amarillo | | 視頻video | http://file.papertrans.cn/188/187410/187410.mp4 | | 發(fā)行地址 | Offers an essential introduction to interval type-2 fuzzy sets applied to biological modeling.Includes applications regarding selected cases of HIV and COVID-19 epidemics, populations models, as well | | 學科分類 | SpringerBriefs in Mathematics | | 圖書封面 |  | | 影響因子 | 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 | | Pindex | Book 2021 |
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