scholarly journals Evaluating Power Rehabilitation Actions Using a Fuzzy Inference Method

2021 ◽  
Author(s):  
Yo-Ping Huang ◽  
Wen-Lin Kuo ◽  
Haobijam Basanta ◽  
Si-Huei Lee
Keyword(s):  
Fuzzy Inference ◽  
Inference Method

An Extended Method of SIRMs Connected Fuzzy Inference Method Using Kernel Method

2009 ◽  
Vol E92-A (10) ◽  
pp. 2514-2521
Author(s):  
Hirosato SEKI ◽  
Fuhito MIZUGUCHI ◽  
Satoshi WATANABE ◽  
Hiroaki ISHII ◽  
Masaharu MIZUMOTO
Keyword(s):  
Fuzzy Inference ◽  
Kernel Method ◽  
Inference Method

Parallel Fuzzy Inference Method for Higher Order Takagi–Sugeno Systems

2018 ◽  
Vol 54 (6) ◽  
pp. 1003-1012
Author(s):  
S. V. Yershov ◽  
R. M. Ponomarenko
Keyword(s):  
Fuzzy Inference ◽  
Higher Order ◽  
Inference Method ◽  
Takagi Sugeno

scholarly journals A weighted fuzzy inference method

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Jifang Wang ◽  
Donghua Gu ◽  
QingE Wu ◽  
Yuhao Du
Keyword(s):  
Fuzzy Inference ◽  
Inference Method

PROPOSAL OF AN INTERPOLATIVE FUZZY INFERENCE METHOD

2000 ◽  
Vol 29 (4) ◽  
pp. 585-604 ◽  
Author(s):  
MANABU SHIMAKAWA ◽  
SHUTA MURAKAMI
Keyword(s):  
Fuzzy Inference ◽  
Inference Method

Application of Fuzzy Inference Method in Printing Pressure State Expectation System

2006 ◽  
Vol 10 (4) ◽  
pp. 594-601 ◽  
Author(s):  
Jianping Jing ◽  
◽  
Yasufumi Takama ◽  
Toru Yamaguchi ◽  
◽  
...  
Keyword(s):  
Product Quality ◽  
Real World ◽  
Production Line ◽  
Fuzzy Inference ◽  
Liquid Crystal Display ◽  
The State ◽  
Production Costs ◽  
Membership Functions ◽  
Inference Method ◽  
Excessive Pressure

To solve a problem in determining the printing pressure of printing machine for real-world liquid crystal display panel (LCD) production, a Printing Pressure expectation system is proposed based on a fuzzy inference method. In real-world LCD panel production, the recognition of printing pressure conditions and its control is a very important and difficult factor that influences the product quality. It is usually performed by skilled engineers, whose performance highly depends on his tacit knowledge. In the proposed system, a fuzzy inference method is employed to solve the problem. Images of the printing area are observed with cameras, from which abstract features are extracted with image processing. The output of the system is the state of printing pressure, which is divided into 3 states: EXCESSIVE PRESSURE (EP), GOOD PRESSURE (GP), and LOW PRESSURE (LP). Based on the abstract features, the state is estimated with fuzzy membership functions. The shapes of membership functions are determined based on the sampled glasses obtained in actual LCD production line. The experiments are performed with the 2000 glasses that are also printed with actual printing machines, of which the result is compared with that of skilled engineers. It is shown that the proposed system outperforms the quality of skilled engineers. The developed system is installed in actual production line, and it is expected to increase the product quality and production speed, as well as to cut off production costs.

Sign in / Sign up

Export Citation Format

Share Document