Fuzzy Logic Based System and Method for Information Processing With Uncertain Input Data

Abstract

A fuzzy logic information processing system and method are disclosed that may be used not only with known or definite data input but also with uncertain data input. The uncertain data input may be represented by a set of values wherein the possibility of any particular or specific value within the set being the true or accurate value is uncertain. The preferred embodiment of the system provides for an extensor to extend or map a representation of the uncertain data into at least one additional dimension related to dimensions of a set of rules used for making fuzzy logic inferences. The set of rules may be provided effectively in a mapped or graphed form. The set of rules and uncertain data are combined, for instance by locating intersection regions, to produce an output set that may be also be described as a map or plot. In a presently preferred embodiment the uncertain inputs and rules are represented mathematically or symbolically and then operated on to produce an output set. A projector then projects the output set to the desired output dimension as an output for the system. The system output may then be used for control purposes such as, for example only, a combat control system to provide a tactical picture, decision aid, presets for a guidance system, or the like.

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Document Details

Document Type
Technical Report
Publication Date
Jan 20, 1999
Accession Number
ADD019442

Entities

People

  • Chidambar Ganesh

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Attorneys
  • Closed Loop Systems
  • Control Systems
  • Decision Support Systems
  • Detectors
  • Diesel Engines
  • Engines
  • Fuzzy Logic
  • Guidance
  • Inference Engines
  • Information Processing
  • Information Systems
  • Inventions
  • Logic
  • Navigation
  • Sonar Pulses
  • Time Intervals

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference