Journal article
Fuzzy set representation of neural network classification boundaries
Abstract
In neural network classification techniques, the uncertainty of a new observation belonging to a particular class is difficult to express in statistical terms. On the other hand, statistical classification techniques are also poor for supplying uncertainty information for new observations. The use of fuzzy sets is a promising approach to providing imprecise class membership information. The monotonic function neural network is a tool that can …
Authors
Archer NP; Wang S
Journal
IEEE Transactions on Systems Man and Cybernetics, Vol. 21, No. 4, pp. 735–742
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
1991
DOI
10.1109/21.108291
ISSN
0018-9472