The set of solutions to a problem is viewed as a fuzzy set whose membership function reflects preference. This membership function is obtained by an egalitarist aggregation of local constraint-satisfaction levels.
Uncertainty is qualitatively described is terms of possibility distributions.
The paper formulates a simple mathematical model of jobshop scheduling under preference and uncertainty, relating it to the formal framework of constraint-satisfaction problems in Artificial Intelligence. J. of Intelligent Manufacturing 6, 215-234, 1995. J. of Intelligent Manufacturing 6, 215-234, 1995.