NDLI: An algorithm for extension of clausal beliefs

Content Provider	IEEE Xplore Digital Library
Author	Guo Qian Deng An-sheng
Copyright Year	2015
Description	Author affiliation: Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China (Guo Qian; Deng An-sheng)
Abstract	In order to reason for the conflicting beliefs, this paper employs the conclusion that does not contain opposite information as the hypothesis expansion. Furthermore, it provides the definition of hypothesis extension based on the method of belief non-revision. The hypothesis expansion has a series of good mathematical properties, e.g., consistency and closeness. This paper proposes the algorithm for extension of clausal beliefs based on the definition and its good nature. Although the number of clausal beliefs may decrease the working speed of the algorithm, the correctness of the corresponding conclusion is enhanced. The experimental results demonstrate that, for a certain amount of beliefs, the efficiency of proposed approach still can be guaranteed.
Starting Page	602
Ending Page	606
File Size	341440
Page Count	5
File Format	PDF
e-ISBN	9781467376822
DOI	10.1109/FSKD.2015.7382011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Information science Knowledge discovery Cognition hypothesist non-revision belief Thermal stability Fuzzy systems expansion
Content Type	Text
Resource Type	Article

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