TY  - JOUR
T1  - Fuzzy Neural Networks with Interval Set for Emotional Color Reasoning
AU - Kim, Ho-Joon AU - Park, Keon-Jun 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1359
EP  - 1364
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1359.1364
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1359.1364
KW  - Human emotion
KW  -emotional language
KW  -emotional reasoning
KW  -fuzzy neural network with interval sets
KW  -learning
KW  -membership functions
AB  - The interest of emotional lighting with the LED is increasing. To control the emotional lighting a fuzzy
neural network for emotional colors reasoning is designed. This studty proposes a fuzzy neural network with
interval sets for emotional color reasoning. The mono image scale and the adjective image scale are used to
extract the emotional colors in accordance with emotional languages. The uncertainty of emotional languages
is expressed by membership functions and the fuzzy lookup table is made by matching the emotional colors.
The consequence of fuzzy neural network is expressed by polynomial with interval set whose the parameters
are learned by BP algorithm. The designed fuzzy neural network is evaluated with the data. The experiment
result showed that emotional lighting system through the proposed fuzzy neural network can be controlled and
adjusted in some situations through learning process with interval sets to handle emotional uncertainty. The
proposed fuzzy neural network with interval sets can be applied to various fields with uncertainty.
ER  -