Aggregation operators for selection problems

Abstract

This paper describes and compares aggregation techniques for Multi Expert-Multi Criteria decision-making. The process of selecting applicants for a Ph.D. program, using different aggregation operators, is presented as a case study. The focus is on applying these operators using only ordinal (sorted) information. A heuristic for determining weights in these situations is discussed. The results obtained with different aggregation methods are compared and analyzed. © 2001 Elsevier Science B.V. All rights reserved.