05179nam a22006015i 4500 978-3-540-69094-8 DE-He213 20210616082028.0 cr nn 008mamaa 100301s2008 gw | s |||| 0|eng d 9783540690948 978-3-540-69094-8 10.1007/978-3-540-69094-8 doi RA648.5-654 MBNS bicssc MED028000 bisacsh MBNS thema 614.4 23 Massad, Eduardo. author. aut http://id.loc.gov/vocabulary/relators/aut Fuzzy Logic in Action: Applications in Epidemiology and Beyond [electronic resource] / by Eduardo Massad, Neli Regina Siqueira Ortega, Laecio Carvalho de Barros, Claudio J. Struchiner. 1st ed. 2008. Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008. XII, 347 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Fuzziness and Soft Computing, 1434-9922 ; 232 Basic Concepts of Fuzzy Sets Theory -- Modern Epidemiology -- Probability, Possibility and Fuzzy Events -- Fuzzy Logic and Risk Estimators -- Fuzzy Decision Making in Public Health Strategies -- Fuzzy Rule-Based Models in Epidemiology -- Fuzzy Rule-Based Dynamical Models -- Fuzzy Dynamical Systems in Epidemic Modeling -- Classical Dynamical Systems with Fuzzy Rule-Based Parameters -- Fuzzy Reed-Frost Model -- Hybrid Models in Epidemiology -- ...and Beyond: Fuzzy Logic in Medical Diagnosis -- Final Reflexions. Fuzzy Logic in Action: Applications in Epidemiology and Beyond, co-authored by Eduardo Massad, Neli Ortega, Laécio Barros, and Cláudio 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 São 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. Epidemiology. Applied mathematics. Engineering mathematics. Computer-aided engineering. Artificial intelligence. Epidemiology. https://scigraph.springernature.com/ontologies/product-market-codes/H63000 Applications of Mathematics. https://scigraph.springernature.com/ontologies/product-market-codes/M13003 Computer-Aided Engineering (CAD, CAE) and Design. https://scigraph.springernature.com/ontologies/product-market-codes/I23044 Mathematical and Computational Engineering. https://scigraph.springernature.com/ontologies/product-market-codes/T11006 Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000 Ortega, Neli Regina Siqueira. author. aut http://id.loc.gov/vocabulary/relators/aut de Barros, Laecio Carvalho. author. aut http://id.loc.gov/vocabulary/relators/aut Struchiner, Claudio J. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783540864905 Printed edition: 9783642088629 Printed edition: 9783540690924 Studies in Fuzziness and Soft Computing, 1434-9922 ; 232 https://doi.org/10.1007/978-3-540-69094-8 ZDB-2-ENG ZDB-2-SXE Engineering (SpringerNature-11647) Engineering (R0) (SpringerNature-43712)