Advanced Methods of Approximate Reasoning

Abstract

This research was directed toward establishing basic conceptual foundations for approximate reasoning concepts and toward the development of frameworks that facilitate the development and comparison of applicable techniques. Approximate reasoning is the common name utilized to to describe automated techniques for the representation and manipulation of imprecise, uncertain, unreliable, and vague information. Our attention was focused primarily on the development of conceptual bases for possibilities or fuzzy logic. Using a conceptual framework, previously employed to explain the meaning of the Dempster-Shafer calculus of evidence (i.e., possible-world semantics), we developed a semantic model for possibilities logics that clearly shows them to be substantially different from their probabilistic counterparts both in meaning and in formal structure.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1990
Accession Number
ADA232140

Entities

People

  • Enrique H. Ruspini

Organizations

  • SRI International

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Birds
  • Classification
  • Cognition
  • Collision Avoidance
  • Expert Systems
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Science
  • Intelligent Agents
  • Intelligent Systems
  • Ontologies
  • Reasoning
  • Semantic Models
  • Set Theory

Readers

  • Artificial Intelligence
  • Theoretical Analysis.