Computing Confidences in Tactical Rule-Based Systems by Using Dempster- Shafer Theory

Abstract

This report describes the implementation of confidence computing methods based on Dempster-Shafer Theory. The theory is applicable to tactical decision problems that can be formulated in terms of sets of mutually exclusive and exhaustive propositions. Dempster's combining procedure, a generalization of Bayesian inference, is used to combine probability mass assignments supplied by independent bodies of evidence. The computing procedures are implemented in the rule-based system ROSIE, and apply to all valid mass assignments. An ordering strategy is used to combine various kinds of assignments by using different procedures that exploit the special features of each. Applications to platform typing and contact association are demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 1983
Accession Number
ADA137274

Entities

People

  • R. A. Dillard

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Boats
  • Command And Control
  • Databases
  • Detection
  • Detectors
  • Expert Systems
  • Latitude
  • Longitude
  • Measurement
  • Patrol Craft
  • Probability
  • Radar
  • Rule Based Systems
  • Search Radar
  • Ships
  • User Interface

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms