The Subjective Transfer Function (STF) method for modeling systems solves the problem of credibly incorporating human judgments into computer models. By employing hypothesis testing principles, expert judgments are represented in algebraic functions that derive from tested theories. The testability feature stems from the algebraic approach to subjective measurement. The STF method provides additional features necessary for coalescing judgments obtained from different groups of system experts into an overall perceptual outcome. This paper describes the STF method and how STF models are used to analyze command and control systems.
This report is part of the RAND Corporation paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.
Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.