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Information Fusion and Data Science
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Possibility Theory for the Design of Information Fusion Systems

Authors: Solaiman, Basel, Bosse, Eloi

  • Contains an integral view of possibility theory and its links to other uncertainty theories
  • Includes possibilistic concepts for analytics and information fusion
  • Contains applications to pattern recognition and other related fusion systems
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Buy this book

eBook $119.00
price for USA (gross)
  • The eBook version of this title will be available soon
  • Due: March 5, 2020
  • ISBN 978-3-030-32853-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: February 6, 2020
  • ISBN 978-3-030-32852-8
  • Free shipping for individuals worldwide
About this book

This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT (information and communications technologies).  This exploitation of possibility theory improves upon probability theory, complements Dempster-Shafer theory, and fills an important gap in this era of Big Data and Internet of Things.
The book discusses fundamental possibilistic concepts: distribution, necessity measure, possibility measure, joint distribution, conditioning, distances, similarity measures, possibilistic decisions, fuzzy sets, fuzzy measures and integrals, and finally, the interrelated theories of uncertainty..uncertainty. These topics form an essential tour of the mathematical tools needed for the latter chapters of the book. These chapters present applications related to  decision-making and pattern recognition schemes, and finally, a concluding chapter on the use of possibility theory in the overall challenging design of an information fusion system. This book will appeal to researchers and professionals in the field of information fusion and analytics, information and knowledge processing, smart ICT, and decision support systems.


About the authors

Basel Solaiman is a professor at IMT-Atlantique (École nationale supérieure Mines-Télécom Atlantique Bretagne-Pays de la Loire), France, where he heads the Department of Image and Information Processing. His research activities range from medical and underwater imaging, remote sensing, and knowledge mining. He holds a Ph.D. degree from Université de Rennes-I, France.

Éloi Bossé, is a researcher on decision support, fusion of information and analytics technologies (FIAT). He possesses a vast research experience in applying them to Defense and Security related problems. He is currently president of Expertise Parafuse Inc., a consultant firm on FIAT, associate researcher at IMT-Atlantique, France. He holds a Ph.D. degree from Université Laval, Québec City, Canada.

Buy this book

eBook $119.00
price for USA (gross)
  • The eBook version of this title will be available soon
  • Due: March 5, 2020
  • ISBN 978-3-030-32853-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: February 6, 2020
  • ISBN 978-3-030-32852-8
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Possibility Theory for the Design of Information Fusion Systems
Authors
Series Title
Information Fusion and Data Science
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32853-5
DOI
10.1007/978-3-030-32853-5
Hardcover ISBN
978-3-030-32852-8
Series ISSN
2510-1528
Edition Number
1
Number of Pages
X, 302
Number of Illustrations
42 b/w illustrations, 79 illustrations in colour
Topics