Systems Science: Methodological Approaches, 1st Edition (e-Book) book cover

Systems Science

Methodological Approaches, 1st Edition

By Yi Lin

CRC Press

399 pages

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Description

By making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems. Each real science has its own particular methodology for not only qualitative but also quantitative analyses, so it is important to understand the organic whole of systems research

Table of Contents

A Brief History of Systems Science. Concepts, Characteristics, and Classifications of Systems. Nonlinear Systems Dynamics and Catastrophe. Self-Organization: Dissipative Structures and Synergetics. Chaos. Fractals. Complex Systems and Complexity. Complex Adaptive Systems. Open Complex Giant Systems. Complex Networks. Case Studies. Bibliography. Index.

About the Author

Dr. Yi Lin, also known as Jeffrey Yi-Lin Forrest, is a specially appointed professor in economics, finance, systems science, and mathematics at several major universities in China as well as tenured professor of mathematics at the Pennsylvania State System of Higher Education (Slippery Rock campus). His research interests are mainly in the area of systems research and applications in a wide-ranging number of disciplines of the traditional sciences, including mathematical modeling, foundations of mathematics, data analysis, theory and methods of predictions of disastrous natural events, economics and finance, management science, and philosophy of science.

Dr. Xiaojun Duan is a professor at the Department of Mathematics and System Sciences, College of Science, National University of Defense Technology, Changsha, China. Her research interests include general systems theory and applications, data analysis, and complex system test and evaluation.

Mr. Chengli Zhao is a lecturer at the Department of Mathematics and Systems Science of the National University of Defense Technology. Mr. Zhao's scientific interests and publications cover studies of complex systems, massive data computing, and web data mining.

Subject Categories

BISAC Subject Codes/Headings:
BUS083000
BUSINESS & ECONOMICS / Information Management
MAT003000
MATHEMATICS / Applied
TEC009000
TECHNOLOGY & ENGINEERING / Engineering (General)