Possibility Theory for the Design of Information Fusion Systems

Inbunden, Engelska, 2019

AvBasel Solaiman,Éloi Bossé,Eloi Bosse

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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).

Produktinformation

Utgivningsdatum2019-12-27
Mått155 x 235 x 22 mm
Vikt617 g
FormatInbunden
SpråkEngelska
SerieInformation Fusion and Data Science
Antal sidor288
FörlagSpringer Nature Switzerland AG
ISBN9783030328528

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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.

Chapter1: Introduction to possibility theory.- Chapter2: Fundamental possibilistic concepts.- Chapter3: Joint Possibility Distributions and Conditioning.- Chapter4: Possibilistic Similarity Measures.- Chapter5: The interrelated uncertainty modeling theories.- Chapter6: Possibility integral.- Chapter7: Fusion operators and decision-making criteria in the framework of possibility theory.- Chapter8: Possibilistic concepts applied to soft pattern classification.- Chapter9: The use of possibility theory in the design of information fusion systems.