Title :
Research of Granularity Pair and Dynamic Hierarchical Algorithm
Author :
Liu, Chunfeng ; Feng, Li
Author_Institution :
Coll. of Sci., Hebei Polytech. Univ., Tangshan, China
Abstract :
The uncertainty of the border leads to the dynamics of granularity pair. In order to characterize the dynamic trend that the difference degree is close to the identity degree, the confidence threshold is introduced. Based on the positive correlation between the confidence threshold and the border of granularity pair, this paper proposes a new algorithm for dynamic hierarchy. The example shows that the algorithm is feasible.
Keywords :
artificial intelligence; granular computing; set theory; confidence threshold; dynamic hierarchical algorithm; granularity pair; Algorithm design and analysis; Approximation methods; Computational modeling; Global warming; Heuristic algorithms; Presses; Uncertainty; border; confidence threshold; dynamics; granularity pair; uncertain system;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
DOI :
10.1109/ISCID.2010.65
