Title :
A method of uncertainty reasoning by using information
Author :
Ma, Jun ; Liu, Jun ; Xu, Yang
Author_Institution :
Dept. of Appl. Math., Southwest Jiaotong Univ., Sichuan, China
Abstract :
It is well known that uncertainty reasoning is a hot spot in artificial intelligence. In this paper, we focus on how to present and extract information from the rule and apply the information in reasoning. First, we discussed the role and the characteristics of the rule used in uncertainty reasoning and give two principles about reasoning. After that, we gave the definitions of necessary property, information validity. Also we defined the importance and usefulness of properties with respect to the rule. Finally, we presented a method of uncertainty reasoning by using information
Keywords :
artificial intelligence; inference mechanisms; uncertainty handling; artificial intelligence; hot spot; uncertainty reasoning; Artificial intelligence; Data mining; Fuzzy logic; Fuzzy set theory; Information science; Knowledge representation; Multivalued logic; Shape; Uncertainty;
Conference_Titel :
Multiple-Valued Logic, 2001. Proceedings. 31st IEEE International Symposium on
Conference_Location :
Warsaw
Print_ISBN :
0-7695-1083-3
DOI :
10.1109/ISMVL.2001.924598
