Biological Models via Interval Type-2 Fuzzy Sets Biological Models via Interval Type-2 Fuzzy Sets
SpringerBriefs in Mathematics

Biological Models via Interval Type-2 Fuzzy Sets

    • ‏49٫99 US$
    • ‏49٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
٢٠٢١
١٢ يناير
اللغة
EN
الإنجليزية
عدد الصفحات
١٥٤
الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
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Theoretical Advances and Applications of Fuzzy Logic and Soft Computing Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
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Forging Connections between Computational Mathematics and Computational Geometry Forging Connections between Computational Mathematics and Computational Geometry
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Soft Methods for Handling Variability and Imprecision Soft Methods for Handling Variability and Imprecision
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Mobile Hybrid Intrusion Detection Mobile Hybrid Intrusion Detection
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Foundations of Generic Optimization Foundations of Generic Optimization
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Twisted Isospectrality, Homological Wideness, and Isometry Twisted Isospectrality, Homological Wideness, and Isometry
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Deep Learning for Fluid Simulation and Animation Deep Learning for Fluid Simulation and Animation
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Brakke's Mean Curvature Flow Brakke's Mean Curvature Flow
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Geodesic Convexity in Graphs Geodesic Convexity in Graphs
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Continuous Average Control of Piecewise Deterministic Markov Processes Continuous Average Control of Piecewise Deterministic Markov Processes
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Homogenisation of Laminated Metamaterials and the Inner Spectrum Homogenisation of Laminated Metamaterials and the Inner Spectrum
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