An Introduction to Fuzzy Regression Analysis with a Ballistic Application

Abstract

Regression models are frequently used for predicting, but quite often the value assumed by the independent variable is somewhat vague. That problem is overcome in this paper by utilizing a combination of fuzzy set methodology and conventional statistical techniques; specifically, fuzzy regression analysis. Fuzzy regression analysis is applied to a particular vulnerability problem, and the difference between this approach and one which utilizes only probability theory is briefly examined.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1984
Accession Number
ADA146093

Entities

People

  • William E. Baker

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Armor Plate
  • Army
  • Computer Programs
  • Data Science
  • Diameters
  • Education
  • Fuzzy Sets
  • Information Science
  • Marine Corps
  • Numbers
  • Probability
  • Probability Density Functions
  • Random Variables
  • Regression Analysis
  • Security
  • Statistics
  • Vulnerability

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Artificial Intelligence
  • Statistical inference.
  • Systems Analysis and Design