Research into multiattribute utility theory far outweighs current attempts to apply findings, while the need for usable decision techniques continues to increase. Current decision maker - analyst procedures involving decision making sessions and numerous manual calculations are considered to be overly time-consuming, except for the most important of complex decisions. The purpose of this thesis was to design and develop a microcomputer package utilizing recent improvements in decision theory to increase the efficiency of the decision making process. Algorithms for independence testing and parameter estimation have been developed for both continuous attributes and discrete attributes. Two separate packages, an additive value function package (DECISION) and a SMART technique package (SMART), are developed based on these algorithms and their validity tested by means of a case study. Both packages are written for use on a standard (256K) IBM PC microcomputer. / Master of Science