Yi Lin, Xiaojun Duan, Chengli Zhao, Li Da Xu

Systems Science (eBook, PDF)

Methodological Approaches

• Format: PDF

Produktbeschreibung

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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 399
• Erscheinungstermin: 26. November 2012
• Englisch
• ISBN-13: 9781439895528
• Artikelnr.: 40065872

Autorenporträt

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.