Bifurcation and Chaos in Fuzzy Dynamical Systems : From Fundamentals to Applications in Uncertain Environments (Synthesis Lectures on Mathematics & Statistics)

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Bifurcation and Chaos in Fuzzy Dynamical Systems : From Fundamentals to Applications in Uncertain Environments (Synthesis Lectures on Mathematics & Statistics)

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  • 製本 Hardcover:ハードカバー版
  • 商品コード 9783032419880

Full Description

This book provides readers with a clear and accessible introduction to fuzzy dynamical systems, bifurcation, and chaotic behavior. By bridging mathematical foundations with systematic analysis, the authors present the essential concepts and tools required to investigate nonlinear dynamical systems under fuzzy uncertainty. The book discusses how uncertainty in system parameters and initial conditions can be represented through intervals/fuzzy numbers and analyzed using the α-cut and double-parametric representations. Beginning with the foundations of dynamical systems and fuzzy sets, the discussion develops a unified framework for fuzzy bifurcation analysis, phase-space evolution, and chaotic dynamics while preserving the underlying governing differential equations. The proposed methodology is illustrated through canonical saddle-node, transcritical, pitchfork, and Hopf bifurcations, together with phase-space analyses and the Lorenz chaotic system. In addition to theoretical developments, the book includes worked examples, bifurcation diagrams, phase portraits, trajectory families, and computational illustrations that strengthen conceptual understanding. The methods and ideas presented are relevant across disciplines such as applied mathematics, engineering, physics, biology, and environmental science, and the book also enhances the capacity to apply these techniques in diverse scientific and professional contexts. This book offers graduate learners, young academics, and emerging researchers with an accessible introduction to the interplay between fuzzy uncertainty, nonlinear dynamical systems, bifurcation phenomena, and chaotic dynamics.

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