Theory and Applications of Belief Functions

Abstract

Graphical or network belief function models are defined and analyzed. Computational aspects are studied, including description and implementation of fusion and propagation algorithms. Applications to reliability of complex systems and to modelling dynamic systems are described. (sdw)

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1989
Accession Number
ADA217092

Entities

People

  • Arthur P. Dempster

Organizations

  • Harvard University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Complex Systems
  • Computations
  • Databases
  • Expert Systems
  • Information Science
  • Kalman Filters
  • Military Research
  • Monte Carlo Method
  • Relational Databases
  • Reliability
  • Risk Analysis
  • Statistics
  • Students
  • Universities

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.