COMPARISON OF GROUP METHODS IN ANALYTIC HIERARCHY PROCESS

Group decision making is an important topic and has been studied in distinct scientific fields. Analytic hierarchy process (AHP) is a method that has often been successfully used for solving multiple criteria group decision making problems. AHP was developed by Saaty in 1980. He suggested eigenvector method for deriving a priority vector from a pairwise comparison matrix which is generated by one decision maker. According to the literature and known applications, weighted geometric mean method (WGMM) is the only appropriate and employed method when the aggregation of individual judgments (AIJ) is used and the importance of the individuals' opinions is not the same. In recent years new approaches to this topic have been studied. In this paper, we discuss the weighted least squares group method (WLSGM) and data envelopment analysis (DEA) group method, and compare them with the WGMM on a numerical example.