The Sixth IASTED International Conference on
Advances in Computer Science and Engineering
ACSE 2010

March 15 – 17, 2010
Sharm El Sheikh, Egypt


Applications in Grey System

Prof. Kun Li Wen
Chienkuo Technology University, Taiwan


The Grey System Theory, first proposed by Professor Julong Deng in 1982, avoids the inherent defects of conventional, statistical methods and only requires a limited amount of data to estimate the behaviour of an uncertain system. During the quarter century, with the hard work by scholars', the grey theory has been successfully applied to research in industry, social systems, ecological systems, economy, geography, traffic, management, education, environment, physical etc. In summary, the main purpose of the grey system theory focuses on the relation between the analysis model construction, and for the following circumstances such as: no certainty, multi-data input, discrete data, and insufficient data, through predicting and decision-making.



Tutorial Materials

According to the study of the grey system theory, the field of the grey system can be summarized into seven parts:

Meantime, the future research of grey system theory can be divided into a few parts

Biography of the Organizer

Special Session Portrait

Professor Dr. Kun-Li Wen received his Ph. D. in Mechanical Engineering from National Central University in Chungli, Taiwan. He is currently a professor of Electrical Engineering at Chienkuo Technology University in Taiwan. Also is the Secretary General in the Chinese Grey System Society from 2005. His research interests lie in the field of grey system analysis and rough set theory.


Please email all submissions to by December 9, 2009. Authors MUST include their full contact information in the email.

Important Deadlines

Latest Submissions DueDecember 9, 2009
Notification of Acceptance StartingJanuary 5, 2010
Final Manuscripts DueJanuary 25, 2010
Registration DeadlineFebruary 1, 2010

Papers will be reviewed on an ongoing basis. Authors who submit early will receive their feedback and notification early.