Notes on the Use of Dempster-Shafer and Fuzzy Reasoning to Fuse Identity Attribute Data

Abstract

Dempster-Shafer evidential reasoning. (D-S) has been applied to fusion of identity attribute data by Filippidis and Schapel. Their example involved deciding, from a given list, which radar emitter was producing the frequency and pulse rate measured by an ESM receiver. The D-S method was used to reach conclusions under uncertainty. Here an alternative approach using fuzzy reasoning is compared to their results. It is seen that the same conclusions are reached with a considerable reduction in computation. The ability to consider new data after a conclusion is reached is seen to be an additional reason for favouring the use of fuzzy reasoning for data fusion of this type. A discussion on the relationship between the approaches is provided. Fuzzy logic, Artificial intelligence, Data fusion, Electronic support measures

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA267426

Entities

People

  • D. J. Kewley

Tags

Communities of Interest

  • Advanced Electronics
  • Electronic Warfare

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Australia
  • Carrier Frequencies
  • Data Fusion
  • Department Of Defense
  • Electronic Support Measures
  • Electronic Warfare
  • Expert Systems
  • Frequency
  • Fuzzy Logic
  • Fuzzy Sets
  • Identities
  • Information Systems
  • Radar
  • Set Theory
  • Warfare

Readers

  • Artificial Intelligence
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Microelectronics