An Algorithm for Computerized Adaptive Decision Analysis

Abstract

This research investigated an application of recent results in conjoint measurement theory research with the aim of developing a new methodology for (1) modeling a decision process used to evaluate preferences for complex choice alternatives, and (2) producing measurement scales for choice component factors and composite choice alternatives based on the decision model. An algorithm for interactive conjoint measurement (ICM) was developed to minimize the problems of redundancy and random error in testing the additive- independence model (AIM) in pair-comparisons designs with fallible data. No provisions were made for handling the systematic error problem or for accommodating more than two choice component factors. The ICM algorithm was tested in error-free data and in data with random error. The results showed that this ICM algorithm performed rather poorly.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA082924

Entities

People

  • James L. Raney

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Army
  • Aviation Safety
  • Biological Sciences
  • Cancellation
  • Composite Materials
  • Computer Programming
  • Computer Programs
  • Computers
  • Factorial Design
  • Linear Programming
  • Military Research
  • Procedures (Computers)
  • Social Sciences
  • Training
  • United States Military Academy

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Educational Psychology
  • Regression Analysis.