DocumentCode :
293499
Title :
Fuzziness of incompleteness and information diffusion principle
Author :
Chongfu, Huang
Author_Institution :
Management School, Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
3
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
1605
Abstract :
There are probably as many definitions of fuzzy uncertainty as there are books on the subject. Many of these definitions are relatively experiential or abstract. Fuzzy uncertainty is actually a very complex concept-much more complex than any experiential definition would lead us to believe. This paper aims to state the essentials of fuzziness of incompleteness which is far from the subjective fuzziness that has being studied in many literatures. In this paper, the principle of information diffusion is introduced to deal with incomplete fuzzy information and a normal diffusion method is discussed. It is show that information diffusion methods have obvious advantages and application prospects
Keywords :
fuzzy set theory; fuzzy systems; information theory; uncertainty handling; fuzziness; fuzzy systems; fuzzy uncertainty; incompleteness; information diffusion; information distribution; normal diffusion; Books; Data engineering; Extraterrestrial measurements; Fuzzy sets; Fuzzy systems; Humans; Information analysis; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409892
Filename :
409892
Link To Document :
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