Belief functions and the possible worlds paradigm

Journal of Logic and Computation

Volumn 12, Issue 3, 2002, Pages 475-495

  Wilkins, Elwood ^a   Lavington, Simon H ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

Belief function; Knowledge discovery; Lower probability envelope

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; PROBLEM SOLVING; SEMANTICS; SYSTEM THEORY;

BELIEF FUNCTIONS; KNOWLEDGE DISCOVERY;

KNOWLEDGE BASED SYSTEMS;

EID: 0036608317     PISSN: 0955792X     EISSN: None     Source Type: Journal    
DOI: 10.1093/logcom/12.3.475     Document Type: Article

References (16)

1. A general framework for data mining based on evidence theory
2. Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion
3. A generalization of Bayesian inference
4. An analysis of first-order logics of probability
5. Representation of evidence by hints
6. Bayesian and non-bayesian evidential updating
7. Uncertainty logics
8. A data mining framework for building intrusion detection models
9. Large datasets lead to overly complex models: An explanation and a solution
10. The transferable belief model
11. Bayes' theorem for Choquet capacities