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
Link To Document :
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