An Application of a Fuzzy Random Variable to Vulnerability Modeling

Abstract

Fuzzy random variable have unique value in a modeling context because of their ability to distinguish model components which are incompletely known due to stochastic variation from components which are unknown due to imprecise measurement or inherent vagueness in their quantification. In this paper we present a straightforward application of fuzzy methods to an important and ongoing defense problem, that of evaluating the susceptibility of an armored vehicle to attack. Keywords: Probability theory and statistics.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1989
Accession Number
ADA216707

Entities

People

  • Malcolm S. Taylor
  • Steven B. Boswell

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Mathematics
  • Armored Vehicles
  • Classification
  • Databases
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Science
  • Kinetic Energy
  • Mathematics
  • Mechanical Structure
  • Probability
  • Random Variables
  • Security
  • Statistics
  • United States
  • Vehicles
  • Vulnerability

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Statistical inference.