Fuzzy Logic-Based Inferencing in the Presence of Input Data Uncertainty

Abstract

In this study, the fundamental problem of handling uncertainty in the input data to a fuzzy inference system is addressed. A novel solution to this problem is derived, based on the principle of fuzzy composition. Application of this concept to the fuzzy characterization of contact speed with uncertain platform classification information is demonstrated and is shown to provide significant improvements in tracking solution quality for the single-leg target motion analysis (TMA) problem. Follow-on efforts are underway to address the issue of modeling uncertainty in the basic structure of a fuzzy inference system.

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Document Details

Document Type
Technical Report
Publication Date
Jan 20, 1998
Accession Number
ADA640493

Entities

People

  • Chidambar Ganesh

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Control Systems
  • Data Integration
  • Data Processing
  • Fuzzy Logic
  • Fuzzy Sets
  • Inference Engines
  • Information Processing
  • Information Systems
  • Mathematical Models
  • Probability
  • Probability Distributions
  • Relative Motion
  • Set Theory
  • Uncertainty
  • Undersea Warfare

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence
  • Naval Architecture and Marine Engineering.

Technology Areas

  • AI & ML