Possibility Theory for the Design of Information Fusion Systems

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
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.