Homomorphic-Like Random Set Representation for Fuzzy Logic Models Using Exponentiation With Applications to Data Fusion

Abstract

The primary goal of this extended abstract is to show how a relatively new mathematical tool, relational event algebra, an extension of conditional event algebra, can be utilized, in conjunction with one-point random set coverages, to represent a class of fuzzy logic models which uses exponentiation to model modifiers.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA365060

Entities

People

  • I. R. Goodman

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Analytic Functions
  • Command And Control
  • Data Fusion
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Science
  • Logic
  • Mathematics
  • Military Research
  • Numbers
  • Probability
  • Random Variables
  • Test And Evaluation
  • Theorems
  • Word Processors

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation