Extension Innovation Method

Extension innovation method is an approach to originality generation. It utilizes basic theories of Extenics, a new discipline for modeling contradiction problems with formalized methods and transformation, to establish a modeling and quantification combined method that can be learned effortlessly and operated conveniently. This book introduces and analyzes commonly used extension innovation methods are introduced and analyzed thoroughly. It makes it easy for readers at different levels and of different knowledge backgrounds to study. Highly accessible cases faciliate understanding and application of the models.

Professor Yang Chunyan is director of Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, director of Extenics Society of Chinese Association for Artificial Intelligent, executive director of Chinese Association for Artificial Intelligence, vice president of Guangdong Future Forecasting Seminar, corresponding evaluation expert of National Science Fundamental Project, 863 Project and Guangdong Natural Science Fundamental Project, one of the academic leaders of the Extenics researching field of China.She has been doing the research on the theory of the new discipline Extenics and its application in management, decision making and artificial intelligence professionally for many years. She has directed three National Natural Science Fundamental Projects and three Guangdong Natural Science Fundamental Projects, has 11 monographs published by Science Press, etc., including Extenics, Extension Innovation Method, Extenics: Theory, Method and Application, Extension Engineering, Extension Data Mining and Its Computer Implementation, Extension Planning, Extension Strategy Generating System. She has obtained two Third prizes of Guangdong Science and Technology Award and published 90 more papers in all publication. She was also highly appraised by national famous scientists for her innovative achievements in extension engineering, contradictory problem intelligent processing, extension data mining, decision making and strategy generation. Her main research directions include Extenics, contradictory problem intelligent processing, extension data mining, knowledge management, innovation method, decision making and strategy generation.