Propagation of Evidence Through Fuzzy Rules

Abstract

Propagation of evidence through fuzzy rules is discussed and illustrated for three different certainty representations. The first certainty representation is single-valued using a real number to represent the certainty for both the premise and the conclusion. This single-valued representation is often found in fuzzy expert system shells. The second certainty representation is interval-valued and is useful in expert system applications. Finally, the third certainty representation is functional-valued and is the most general and the most complex.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA275071

Entities

People

  • P. R. Kersten

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Control Systems
  • Data Science
  • Data Sets
  • Databases
  • Expert Systems
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Science
  • Intervals
  • Logic
  • Numbers
  • Real Numbers
  • Set Theory
  • Statistical Tests
  • Test Sets

Readers

  • Artificial Intelligence