EQUILIBRIUM AND NONEQUILIBRIUM MODELING OF YINYANG WUXING FOR DIAGNOSTIC DECISION SUPPORT IN TRADITIONAL CHINESE MEDICINE

Wen-Ran Zhang () and Su-Shing Chen ()
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Wen-Ran Zhang: Department of Computer Science, College of Information Technology, Georgia Southern University, Statesboro, GA 30460, USA
Su-Shing Chen: CAS-MPG Partner Institute of Computational Biology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yue Yan Road, Shanghai 200031, China

International Journal of Information Technology & Decision Making (IJITDM), 2009, vol. 08, issue 03, 529-548

Abstract: Although the theory of YinYang WuXing (YYWX) or YinYang-5-Elements (subsystems of human body) has been a major analytical basis for Traditional Chinese Medicine (TCM) for thousands of years, the theory has been primarily empirical in nature without a formal mathematical or scientific foundation. Based on bipolar set theory, YinYang bipolar linear algebra is introduced and an equilibrium- or nonequilibrium-based computational model of YYWX is proposed. Nourishing and regulating relations are defined; YYWX dynamic equations are formulated; global and local equilibrium and nonequilibrium conditions are established and proved. Computer simulations of equilibrium and nonequilibrium processes show that the new approach provides a unique scientific basis for future research and development in herbal medicine, Qi (vital energy), QiGong, JingLuo (acupuncture channels), and acupuncture. A decision support system is prototyped and presented for diagnostic decision analysis in TCM. Furthermore, this work is expected to provide a basic YinYang cellular network architecture for modern scientific research in socioeconomics as well as in genomics, bioeconomics, metabolism, computational biology, aging, artificial intelligence, and biomedical engineering.

Keywords: YinYang bipolar linear algebra; YinYang WuXing dynamic equations; equilibrium and nonequilibrium processes; nourishing and regulating relations; YinYang vital energy and harmony; decision support for TCM (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1142/S0219622009003521

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