Possibility Theory for the Design of Information Fusion Systems

• Κύριοι συγγραφείς: Solaiman, Basel (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Bossé, Éloi (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Fusion and Data Science,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.