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Fuzzy Logic in Action: Applications in Epidemiology and Beyond (Paperback, Softcover reprint of hardcover 1st ed. 2008)
Loot Price: R4,247
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Fuzzy Logic in Action: Applications in Epidemiology and Beyond (Paperback, Softcover reprint of hardcover 1st ed. 2008)
Series: Studies in Fuzziness and Soft Computing, 232
Expected to ship within 10 - 15 working days
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Fuzzy Logic in Action: Applications in Epidemiology and Beyond,
co-authored by Eduardo Massad, Neli Ortega, Laecio Barros, and
Claudio Struchiner is a remarkable achievement. The book brings a
major paradigm shift to medical sciences exploring the use of fuzzy
sets in epidemiology and medical diagnosis arena. The volume
addresses the most significant topics in the broad areas of
epidemiology, mathematical modeling and uncertainty, embodying them
within the framework of fuzzy set and dynamic systems theory.
Written by leading contributors to the area of epidemiology,
medical informatics and mathematics, the book combines a very lucid
and authoritative exposition of the fundamentals of fuzzy sets with
an insightful use of the fundamentals in the area of epidemiology
and diagnosis. The content is clearly illustrated by numerous
illustrative examples and several real world applications. Based on
their profound knowledge of epidemiology and mathematical modeling,
and on their keen understanding of the role played by uncertainty
and fuzzy sets, the authors provide insights into the connections
between biological phenomena and dynamic systems as a mean to
predict, diagnose, and prescribe actions. An example is the use of
Bellman-Zadeh fuzzy decision making approach to develop a
vaccination strategy to manage measles epidemics in Sao Paulo. The
book offers a comprehensive, systematic, fully updated and self-
contained treatise of fuzzy sets in epidemiology and diagnosis. Its
content covers material of vital interest to students, researchers
and practitioners and is suitable both as a textbook and as a
reference. The authors present new results of their own in most of
the chapters. In doing so, they reflect the trend to view fuzzy
sets, probability theory and statistics as an association of
complementary and synergetic modeling methodologies.
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