http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Towards Efficient Fuzzy Information Processing
Using the Principle of Information Diffusion
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.
pt. I. Principle of Information Diffusion -- 1. Introduction -- 2. Information Matrix -- 3. Some Concepts From Probability and Statistics -- 4. Information Distribution -- 5. Information Diffusion -- 6. Quadratic Diffusion -- 7. Normal Diffusion -- pt. II. Applications -- 8. Estimation of Epicentral Intensity -- 9. Estimation of Isoseismal Area -- 10. Fuzzy Risk Analysis -- 11. System Analytic Model for Natural Disasters -- 12. Fuzzy Risk Calculation.
Includes bibliographical references and index.
Studies in fuzziness and soft computing ; 99