DocumentCode
3450893
Title
A dynamic learning team model as a fuzzy perceptron
Author
Nojiri, Hideyuki
Author_Institution
Kumamoto Univ. of Commerce, Japan
fYear
1992
fDate
8-12 Mar 1992
Firstpage
339
Lastpage
345
Abstract
The author develops an understanding of the formal relationship between perceptrons and dynamic team models. The various concepts of perceptrons and fuzzy sets are introduced to a framework for dynamic team decisions. Then a dynamic learning team model is proposed which uses the learning rules to adjust the informal human relations expressed by the concepts of fuzzy relations. A proposed dynamic learning team model contains a fuzzy perceptron as a special case
Keywords
behavioural sciences; decision theory; fuzzy set theory; learning (artificial intelligence); artificial intelligence; behavioural sciences; dynamic learning team model; dynamic team decisions; fuzzy perceptron; fuzzy set theory; informal human relations; Business; Distributed control; Distributed processing; Fuzzy sets; Humans; Probability distribution; State-space methods; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258638
Filename
258638
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