Possibility Theory for the Design of Information Fusion Systems

• Main Authors: Solaiman, Basel (Author, http://id.loc.gov/vocabulary/relators/aut), Bossé, Éloi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Information Fusion and Data Science,
• Subjects: Probabilities.; Statistics .; Mathematical statistics.; Sociophysics.; Econophysics.; Electrical engineering.; Probability Theory and Stochastic Processes.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Probability and Statistics in Computer Science.; Data-driven Science, Modeling and Theory Building.; Communications Engineering, Networks.

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 comm...