Logic of probability entailment with threshold-surety

Author

Li, Yong ; Liu, Weiyi

Author_Institution

Dept. of Autom., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

689

Lastpage

693

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEEM.2009.5373237

Filename

5373237