Title :
Logic of probability entailment with threshold-surety
Author :
Li, Yong ; Liu, Weiyi
Author_Institution :
Dept. of Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
We offer a logic of probability entailment with threshold-surety approach to a probabilistic logic, which treats a finite set of premises in a knowledge base as assertions that are true with probability at least some primary threshold, and consider as consequences those assertions probabilistically entailed to have probability at least some suitable threshold. We use the concept of fuzzy c-partition and the maximum fuzzy entropy principle to select the threshold values for knowledge base and conduct an illustrative experiment.
Keywords :
knowledge based systems; maximum entropy methods; probabilistic logic; fuzzy c-partition concept; knowledge based system; maximum fuzzy entropy principle; probabilistic logic; probability entailment approach; threshold-surety approach; Automation; Calculus; Computer science; Entropy; Fuzzy logic; Fuzzy reasoning; Knowledge engineering; Probabilistic logic; Strontium; Testing; Fuzzy c-partition; Fuzzy logic; Maximum entropy principle; Probability entailment; Threshold surety;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373237
