Conclusion from uncertain knowledge

The purpose of this paper is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined and at last a new possible evaluation strategy is given. This knowledgebase and the evaluating procedure can be the base of a possible agent-model.