Title :
Fuzzy probabilistic belief base revision
Author :
Lin, Yunguo ; Wang, Xiuli ; Hu, Shanli
Author_Institution :
Coll. of Comput. & Inf., Fujian Agric. & Forestry Univ., Fuzhou, China
Abstract :
Belief revision is a focus of the research of artificial intelligence. How to revise uncertain belief is worth researching. Based on general fuzzy probabilistic aumann belief logic, the belief mental attribute of agent is considered, and two kinds of fuzzy probabilistic in a belief base are given, the classical partial meet revision is extended to fuzzy probabilistic belief base revision. According to fuzzy probabilistic of belief, fuzzy probabilistic belief base revision contains course of contraction and course of expansion, partial meet revision is redefined.
Keywords :
belief maintenance; fuzzy set theory; artificial intelligence; fuzzy probabilistic belief base revision; general fuzzy probabilistic aumann belief logic; partial meet revision; uncertain belief; Agriculture; Artificial intelligence; Computer science; Cost accounting; Forestry; Fuzzy logic; Fuzzy systems; Intelligent systems; Knowledge engineering; Mathematics;
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4730972
