Logical Structures for Representation of Knowledge and Uncertainty

To answer questions concerning previously supplied information the book uses a truth table or 'chain set' logic which combines probabilities with truth values (= possibilities of fuzzy set theory). Answers to questions can be 1 (yes); 0 (no); m (a fraction in the case of uncertain informat...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Hisdal, Ellen (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1998.
Έκδοση:1st ed. 1998.
Σειρά:Studies in Fuzziness and Soft Computing, 14
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • BP Logic
  • Chain Set and Probability Overview
  • BP Chain Sets I, Affirmation, Negation, Conjunction, Disjunction
  • BP Chain Sets II, Special Cases of Chain Sets
  • BP Chain Sets III, Precise Formulations
  • Inferences or the Answering of Questions
  • Inferences with Higher Level Chain Sets
  • IF THEN Information
  • Various IF THEN Topics
  • M Logic
  • The M-Notation and Ignorance vs Uncertainty
  • Two Types of Updating of Probabilities
  • Operations and Ignorance in the M Logic
  • Modus Ponens and Existence Updating
  • IF THEN Information in the M Logic
  • Existence Structures
  • Existence Inferences
  • Conditional and Joint Existence Information and Inferences
  • Attributes and The Alex System versus Chain Sets
  • Attributes and the Alex System versus Chain Sets
  • Solutions to Some Exercises.