Extracting fuzzy if-then rules by using the information matrix technique
Journal of Computer and System Sciences
Soft risk maps of natural disasters and their applications to decision-making
Information Sciences: an International Journal
Risk Analysis with Information Described in Natural Language
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Flood Disaster Risk Analysis for Songhua River Basin Based on Theory of Information Diffusion
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Analysis on fuzzy risk of landfall typhoon in Zhejiang province of China
Mathematics and Computers in Simulation
Theory and practice on information granule matrix
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Modeling and mining the rule evolution
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
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From the Publisher:The need for developing a better understanding of the behaviour of small samples by observing experiments presents a problem far beyond purely academic interest. This monograph describes the character of incomplete fuzzy information, and proposes and proves the principle of information diffusion. The focus lies in changing a traditional sample-point into a fuzzy set to partly fill the gap caused by incomplete data, so that the recognition of relationships between input and output can be improved. Part 1 examines the origins of the principle of information diffusion and describes the mathematical concepts and proofs. Topics covered include: information matrix, demonstration of information distribution, and the kernel function in terms of information diffusion. Part 2 covers applications such as earthquake engineering and risk assessment of flood, and demonstrates that the new theory is useful for studying practical cases.