GE 530
Multiattribute Decision Making

Credit: 4 hours.


(G E 444) Provides the student with background and practice in applying tools for subjective multiple attribute decision making when present or future states of nature are uncertain. Includes exploration of current research in developing computer aids to decision making. Discusses issues in descriptive versus normative approaches in the context of the interface between operations research and artificial intelligence. Covers multiattribute utility analysis from theoretical foundations through assessment procedures, practice, and pitfalls of potential cognitive bases. Same as CEE 536. Prerequisite: GE 331 or CEE 202 or equivalent; or consent of instructor.