Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
Towards a Possibilistic Logic Handling of Preferences
Applied Intelligence
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Extending CP-nets with stronger conditional preference statements
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Smooth associative operations on finite ordinal scales
IEEE Transactions on Fuzzy Systems
Mastering the Processing of Preferences by Using Symbolic Priorities in Possibilistic Logic
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Preferences in AI: An overview
Artificial Intelligence
Interpolation and extrapolation in conceptual spaces: a case study in the music domain
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions
Information Sciences: an International Journal
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The paper presents and discusses a method for rank-ordering alternatives on the basis of constraints induced by generic principles (expressing for instance the relative importance of criteria), or by examples of orderings between particular alternatives, without resorting to the use of an aggregation operation for evaluating the alternatives. The approach, which remains qualitative, is based on the minimal specificity principle of possibility theory in order to complete the constraints. It is compared on an illustrative example to an aggregation-based approach using Choquet integral. The way constraints expressed in the Choquet integral setting translate into constraints in the proposed approach is discussed.