ERIC Number: ED244605
Record Type: RIE
Publication Date: 1981-Aug
Reference Count: 0
MAUD: An Interactive Computer Program for the Structuring, Decomposition, and Recomposition of Preferences between Multiattributed Alternatives. Final Report. Technical Report 543.
Humphreys, Patrick; Wisudha, Ayleen
As a demonstration of the application of heuristic devices to decision-theoretical techniques, an interactive computer program known as MAUD (Multiattribute Utility Decomposition) has been designed to support decision or choice problems that can be decomposed into component factors, or to act as a tool for investigating the microstructure of a component of a decomposition problem. MAUD produces a log of decision making sessions, including a list of the MAUD-composed holistic preference values for the alternatives under consideration and a summary of the structure and basis on which these values were computed. The option of updating decision making structures is also allowed. In addition, MAUD interacts directly with clients, without the use of an intermediary decision analyst or technician. This report contains a complete user manual for the operation of the MAUD program implemented on an IBM 5110; it is noted that MAUD can be used to teach students with a variety of military decision problems to produce decisions and be more cognizant of their own values. Several examples are provided to help the user both understand the input and interpret MAUD outputs. A decision-theoretic rationale for the MAUD algorithms with special reference to multiattribute utility theory is summarized as are the programing logic and operations. Also included are a 41-item bibliography and a complete line-by-line program listing. (Author/ESR)
Publication Type: Guides - Non-Classroom; Reports - Descriptive; Computer Programs
Education Level: N/A
Sponsor: Army Research Inst. for the Behavioral and Social Sciences, Alexandria, VA.
Authoring Institution: Brunel Univ., Uxbridge (England). Brunel Inst. of Organisation and Social Science.
Identifiers: Decision Theory; Decision Trees; Multiattribute Utility Decomposition; Utility Theory
Note: Portions of Appendix B may not reproduce due to print defects. For related document, see IR 011 131.