Aggregation of partial ordinal rankings: an interval goal programming approach

This paper shows how interval goal programming can be a useful tool for aggregating incomplete individual patterns of preference in a group decision-making problem. The different consensus solutions obtained have a precise preferential meaning and hold interesting properties. The way in which the methodology functions is illustrated with the help of a numerical example.