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An abstract of the dissertation of Sida Zhou for the Doctor of Philosophy in Systems Science: Engineering Management presented December 1, 1995. Title: THE DEVELOPMENT AND EVALUATION OF AGGREGATION METHODS FOR GROUP PAIRWISE COMPARISON JUDGMENTS The basic problem of decision making is to choose the best alternative from a set of competing alternatives that are evaluated under conflicting criteria. In general, the process is to evaluate decision elements by quantifying the subjective judgments. The Analytic Hierarchy Process (AHP) provides us with a comprehensive framework for solving such problems. As pointed out by Saaty, AHP "enables us to cope with the intuitive, the rational, and the irrational, all at the same time, when we make multicriteria and multiactor decisions". Furthermore, in most organizations decisions are made collectively, regardless of whether the organization is public or private. It is sometimes difficult to achieve consensus among group members, or for all members of a group to meet. The purpose of this dissertation was two-fold: First, we developed a new aggregation method Minimum Distance Method (MDM) to support group decision process and to help the decision makers achieve consensus under the framework of AHP. Second, we evaluated the performance of aggregation methods by using accuracy and group disagreement criteria. The evaluations were performed through simulation and empirical tests.

The Development and Evaluation of Aggregation Methods for Group Pairwise Comparison Judgments