Group prioritization in the analytic hierarchy process by fuzzy preference programming method

In this paper we propose a new group fuzzy preference programming (GFPP) method for deriving group priorities from crisp pairwise comparison judgments, provided by multiple decision makers. The assessment of the group priorities is formulated as a fuzzy linear programming problem, maximizing the group's overall satisfaction with the group solution. The GFPP method combines the group synthesis and prioritization stages into a coherent integrated framework, which does not need additional aggregation procedures. The method can easily deal with missing judgments and provides a meaningful indicator for measuring the level of group satisfcation and group consistency.