Document Type
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BL
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Record Number
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860368
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Main Entry
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Forrest, Jeffrey Yi-Lin,1959-
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Title & Author
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General systems theory : : foundation, intuition and applications in business decision making /\ Jeffrey Yi-Lin Forrest.
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Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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Series Statement
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IFSR international series in systems science and systems engineering ;; volume 32
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Page. NO
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1 online resource
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ISBN
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3030045587
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: 9783030045586
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3030045579
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9783030045579
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Notes
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14.3.3 Wave Motions Versus Eddy Motions
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Contents
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Intro; Preface of the Current Edition; Preface of the First Edition; Acknowledgements; Contents; About the Author; Synopsis; 1 Introduction; 1.1 Historical Background; 1.2 Whole Evolutions-Blown-Ups and Revolving Currents; 1.3 Systems Philosophy and Methodology; 1.4 The Reason for Looking at Applications in Economics and Business Areas; 1.5 Organization of Contents in This Book; References; The Foundation; 2 The Concept of General Systems; 2.1 Various Attempts; 2.1.1 The Concept of Systems; 2.1.2 The Set-Theoretical Definition of General Systems; 2.1.3 Structures; 2.1.4 L-Fuzzy Systems
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11.3 Decoupling Through Feedback11.4 An Example; References; 12 Decomposability Conditions; 12.1 Global and Complex System Representations; 12.2 Isomorphisms and Monomorphisms; 12.3 Input-Output System Covering; 12.4 Surjective Complex System Representation of Order n; References; The Systemic Intuition; 13 How Systems Could Be Intuitively Seen; 13.1 The Systemic Yoyo Model; 13.2 Properties of Systemic Yoyo Fields; 13.3 Interactions of Systemic Fields; 13.4 Laws on State of Motion; 13.5 Remarks; 13.5.1 How Calculus, a Pinnacle Achievement of Science, Was Made Possible?
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13.5.2 Usefulness of Intuition13.5.3 Validity of Figurative Analysis; References; 14 Whole Evolutions, Where Systemic Yoyos Come from; 14.1 Blown-Ups: Moments of Transition in Evolutions; 14.2 Properties of Blown-Ups; 14.2.1 Blown-Ups of Quadratic Models; 14.2.2 Blown-Up Properties of nth Degree Polynomial Models, n ge3; 14.2.3 Blown-up of Nonlinear Time-Space Evolution Equations; 14.3 Issues Facing Quantitative Infinity; 14.3.1 An Implicit Transformation Between Euclidean Spaces and Curvature Spaces; 14.3.2 Motions Represented by General Dynamic System
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2.1.5 G-Systems2.2 Internalities of Systems; 2.3 The Edifice of Systems; References; 3 Mappings and Constructions of Systems; 3.1 Mappings from Systems into Systems; 3.2 Free Sums; 3.3 Products and Cartesian Products; 3.4 One-Level Products; References; 4 Connectedness; 4.1 Connected Systems; 4.2 Connectedness of Constructed Systems; References; 5 Hierarchies-Construction of Large-Scale Systems; 5.1 Existence of Linkages; 5.2 Mappings from Hierarchies into Hierarchies; 5.3 Time Systems; References; 6 Controllabilities; 6.1 Controllabilities of Input-Output Systems
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6.2 General Controllabilities6.3 Controllability of Time Systems; References; 7 Limit Systems; 7.1 Existence of Limits; 7.2 Induced Mappings Between Limits; 7.3 Centralizability of Limits; References; 8 Systems of Single Relations; 8.1 Chaos; 8.2 Attractors; References; 9 The Feedback Mechanism; 9.1 Linear Systems; 9.2 Feedback Systems; References; 10 Properties Invariant Under Feedback; 10.1 Linearity; 10.2 Mesarovic-Takahara Time Systems; 10.3 Time-Invariable Realization; References; 11 Decoupling of Single-Relation Systems; 11.1 The Concept; 11.2 Transferrable Properties
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Abstract
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This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation--a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making. Following a foundation of general systems theory, the book presents an applied method to intuitively learn system-sciences fundamentals. The third and final part examines applications of the yoyo model and the theoretical results developed earlier within the context of problems facing business decision makers by organically combining methods of traditional science, the first dimension of science, with those of systems science, the second dimension, as argued by George Klir in the 1990s. This text would benefit graduate students, researchers, or practitioners in the areas of mathematics, systems science or engineering, economics, and business decision science.--
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Subject
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System theory.
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Subject
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System theory.
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Dewey Classification
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003
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LC Classification
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Q295.F67 2018
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