DocumentCode
441873
Title
Evaluation criteria on down-compatibility degree of fuzzy inference mechanism
Author
Deng, Chao ; Guo, Mao-zu ; Wang, Ya-dong
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
Volume
4
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
2418
Abstract
Being not down-compatible with classical two-value logic inference mechanism, fuzzy inference mechanism (FIM) would get absurd conclusions even in the simplest cases. To strictly evaluate down-compatibility degree and to build new FIM with high down-compatibility degree, a series of formulized criterions are presented based on compatibility of truth space and match modes, and logic consistence of conclusions derived by homologous composite premises from different FIMs. These criteria could offer both formal evaluation scales and revise guidelines. According to these criteria, some FIMs are lower in terms of down-compatibility degree and then revised up to the highest degree under its guidelines.
Keywords
formal logic; fuzzy reasoning; down-compatibility degree; formal evaluation scales; fuzzy inference mechanism; logic conclusion consistence; match modes; truth space; two-value logic inference mechanism; Chaos; Computer science; Decision making; Fuzzy logic; Fuzzy systems; Guidelines; Hybrid intelligent systems; Inference mechanisms; Intelligent robots; Logic testing; Fuzzy inference mechanism; down-compatibility; truth assignment; two-value logic inference mechanism;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527350
Filename
1527350
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