Using Comparison-Based Methods for Predicting and Designing,

Abstract

Effective planning requires that we can predict the outcomes of different options, but it is difficult to make predictions when we have limited knowledge of the relevant causes and their impacts. Comparison-based methods are proposed as a means of generating predictions despite uncertainty and missing data. The methods have the further advantage of providing an audit trail describing the basis for the predictions: the comparison case used, the operational data collected, the adjustments made along with their rationale. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1984
Accession Number
ADP003364

Entities

People

  • G. A. Klein
  • S. E. Gordon

Tags

DTIC Thesaurus Topics

  • Behavioral Disciplines And Activities
  • Behavioral Sciences
  • Colorado
  • Continents
  • Department Of Defense
  • Geographic Regions
  • Governments
  • National Governments
  • Psychology
  • Uncertainty

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation