DocumentCode
1561321
Title
Research on information requirement of zero-order universal implication operators in fuzzy reasoning
Author
Lihua, Fu ; Huacan, He
Author_Institution
Dept. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an, China
Volume
3
fYear
2004
Firstpage
2527
Abstract
Based on the definition of linear specificity measure, this paper discusses in detail the conditions on which the zero-order universal implication operators satisfy the information boundedness principle in fuzzy reasoning, and gets the conclusion: when propositions are restraining correlative, that is, their general correlation coefficient h∈[0,0.5], the zero-order universal implication operators satisfy the information boundedness principle. This conclusion has an important directive meaning for how to give the value of the general correlative coefficient h in a practical control application.
Keywords
correlation theory; fuzzy logic; fuzzy set theory; inference mechanisms; correlation coefficient; fuzzy logic; fuzzy reasoning; fuzzy set theory; information boundedness principle; linear specificity measure; zero order universal implication operators; Blindness; Computer science; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Helium;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342051
Filename
1342051
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