Abstract
Reconciling the different desires and requirements of individuals within decision making groups is becoming increasingly important, as corporate structures tend to embody flat relationships more than hierarchical ones, and as computer networks gain ever more utility. In this paper, a computer aided decision making support system is proposed, that such groups of decision makers can rely on, in order to arrive at the best possible cooperative decisions. First, weighting coefficients for the factors to be evaluated are determined by pair comparisons based on the AHP (Analytic Hierarchy Process) method. The preference structures of the decision makers for these factors are expressed by single-attribute satisfaction functions. Next, these satisfaction functions are classified into two groups having opposite tendencies (positive, and negative) so that when graphed, the intersection of the two curves can be defined as a solution point where the decision makers can compromise. Then, improvement procedures are conducted based on compromise processes, so that the satisfaction levels at the solution point becomes as high as possible. Finally, these decision making procedures are demonstrated by analyzing the decision making problems encountered when designing an industrial robot.
