Fuzzy Sets and Systems
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Bipolar Queries and Queries with Preferences (Invited Paper)
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Bipolar representations in reasoning, knowledge extraction and decision processes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Continuous Preference Logic for System Evaluation
IEEE Transactions on Fuzzy Systems
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In decision making, it is sometimes more appropriate to express what has to be rejected rather than what is permitted. Moreover, permitted and rejected cases do not necessarily have to mirror each other, which is called heterogeneous bipolarity. To efficiently deal with heterogeneous bipolarity in decision making, a new bipolar criteria satisfaction modelling framework is proposed in this paper. This framework is based on independent degrees of satisfaction and dissatisfaction. Its use and advantages are illustrated within the context of suitability maps for geographical decision making. A suitability map reflects the overall suitability of a specific area for a selected type of use. In a general case, the suitability of a location depends on a variety of criteria that are specified using reasoning techniques that are typical for soft computing. These criteria are evaluated and their resulting satisfaction and/or dissatisfaction degrees are aggregated using graded logic functions within the framework of the LSP method.