Multi-objective allocation: A data-free approach

In urban planning and other fields a number of apparently different problems have two features in common. First, a fixed total of a resource is to be split among several claimants. Second, different interested parties have differing views as to what constitutes an optimum allocation. We present methods for the quantification of preferences and for the production of a compromise optimum. The methods have the merit of being problem independent and sparing in their demands for data and for specialised computer software.