Title :
A dynamic learning team model as a fuzzy perceptron
Author :
Nojiri, Hideyuki
Author_Institution :
Kumamoto Univ. of Commerce, Japan
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;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258638
