Towards Efficient Fuzzy Information Processing

Using the Principle of Information Diffusion

Chongfu Huang, Yong Shi (Autoren)

Buch | Softcover

XXI, 370 Seiten

2010 | 1. Softcover reprint of hardcover 1st ed. 2002
Physica (Verlag)
978-3-7908-2511-4 (ISBN)

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When we learn from books or daily experience, we make associations and draw inferences on the basis of information that is insufficient for under standing. One example of insufficient information may be a small sample derived from observing experiments. With this perspective, the need for de veloping a better understanding of the behavior of a small sample presents a problem that is far beyond purely academic importance. During the past 15 years considerable progress has been achieved in the study of this issue in China. One distinguished result is the principle of in formation diffusion. According to this principle, it is possible to partly fill gaps caused by incomplete information by changing crisp observations into fuzzy sets so that one can improve the recognition of relationships between input and output. The principle of information diffusion has been proven suc cessful for the estimation of a probability density function. Many successful applications reflect the advantages of this new approach. It also supports an argument that fuzzy set theory can be used not only in "soft" science where some subjective adjustment is necessary, but also in "hard" science where all data are recorded.

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.- 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.- List of Special Symbols.

Erscheint lt. Verlag	21.10.2010
Reihe/Serie	Studies in Fuzziness and Soft Computing
Zusatzinfo	XXI, 370 p.
Verlagsort	Heidelberg
Sprache	englisch
Maße	155 x 235 mm
Gewicht	594 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre
Schlagworte	Analysis • Cognition • Data Modeling • Fuzziness • fuzzy • Fuzzy Engineering • Fuzzy Set • Information Diffusion • Information Processing • Kernel • Knowledge Modeling • Model • Racter
ISBN-10	3-7908-2511-5 / 3790825115
ISBN-13	978-3-7908-2511-4 / 9783790825114
Zustand	Neuware