A multivalued knowledge-base model

Abstract. The basic aim of our study 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 as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a function set of the program, which help us to determine the uncertainty levels of the results. At last a possible evaluation strategy is given.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Agnes Achs
• Keywords: Bipolar Fuzzy Datalog, CORR 2010, Education, Fuzzy Datalog, Interval-valued Fuzzy Logic