A Fuzzy Set Approach to Vulnerability Analysis.

Abstract

This document illustrates how vagueness or uncertainty can be modeled by fuzzy sets and how this uncertainty is reflected in the final measure of vulnerability. Its emphasis will be on the computation of vulnerable area of a surrogate system with uncertainty present in the cell probabilities. The uncertainty in the cell probabilities can be attributed to uncertainty in assigning component kill probabilities, to error in engineering judgement in determining critical areas of components and component kill criteria and to unknown synergistic effects. Other contributions to uncertainty are of course present, starting from the target description through a myriad of subjective decisions and engineering judgements inherent in the vulnerability analysis. For the purpose of completeness and comparison, a point estimate of the vulnerable area of the surrogate system will also be determined as it is currently done in vulnerability analysis. A point and interval estimate of the vulnerable area will be determined by a statistical procedure known as bootstrapping. Finally, a fuzzy vulnerable area will be calculated and the different approaches compared. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA163921

Entities

People

  • Malcolm S. Taylor
  • Palmer R. Schlegel
  • Ralph E. Shear

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Ammunition
  • Artificial Intelligence
  • Commerce
  • Data Analysis
  • Databases
  • Engineering
  • Fuzzy Sets
  • Grids
  • Kill Probabilities
  • Marine Corps
  • Military Research
  • Munitions
  • Probability
  • Sampling
  • Security
  • Universities
  • Weapons

Readers

  • Artificial Intelligence
  • Cybersecurity.
  • Regression Analysis.