DocumentCode
2075693
Title
Fuzzy laws of information for fuzzy valued systems
Author
Xueshan, Luo
Author_Institution
Dept. of Syst. Eng. & Math., Nat. Univ. of Def. Technol., Hunan, China
fYear
1990
fDate
3-5 Dec 1990
Firstpage
318
Lastpage
320
Abstract
n-dimensional information theory is well adapted to study complex systems in which the parts of the system interact in a non-simple way. Conant (1976) used it to quantify the information activities in such systems so as to gain a better understanding of the real-world systems. The results he obtained, including entropy rate, total information rate, throughput rate, blockage rate, coordination rate, noise rate, and the information partition law, etc., are extended to fuzzy valued systems in this paper
Keywords
entropy; fuzzy set theory; information theory; blockage rate; complex systems; coordination rate; entropy rate; fuzzy information laws; fuzzy valued systems; information partition law; n-dimensional information theory; noise rate; throughput rate; total information rate; Communication channels; Entropy; Equations; Fluid flow measurement; Fuzzy sets; Fuzzy systems; Information rates; Noise measurement; Random variables; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-2107-9
Type
conf
DOI
10.1109/ISUMA.1990.151271
Filename
151271
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