Title :
Inference in hybrid KBS with interval-valued confidence
Author_Institution :
Fac. of Inf. Technol.., Macau Univ. of Sci. & Technol., Macau
Abstract :
This article discusses confidence handling for inference in hybrid knowledge-based system (KBS) with hierarchical knowledge representation. The knowledge content (precise or imprecise) represented in multiple units of knowledge hierarchy and the confidence obtained during inference process are treated as two levels separately but simultaneously based on the concept of truth value flow inference. Three-parametric triangular truth values as special subsets defined on the interval [0,1] are adopted to describe the confidence of inference, and operations on such interval-valued confidence are defined to meet commonsense interpretation of decision making.
Keywords :
decision making; fuzzy reasoning; fuzzy set theory; knowledge based systems; knowledge representation; decision making; fuzzy set theory; hierarchical knowledge representation; hybrid knowledge-based system; interval-valued confidence handling; three-parametric triangular truth value flow inference; Decision making; Hybrid intelligent systems; Inference algorithms; Inference mechanisms; Information technology; Intelligent structures; Knowledge based systems; Knowledge representation; Power system modeling;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630548