A new approximate belief rule base expert system for complex system modelling

2021 ◽  
pp. 113558
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
Jie Wang
2021 ◽  
pp. 1-12
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Guanyu Hu ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
...  

Author(s):  
Md. Mahashin Mia ◽  
Abdullah Al Hasan ◽  
Rahman Atiqur ◽  
Rashed Mustafa

<p><span>An intelligent belief rule base (BRB) based system with internet of things (IoT) integration can evaluate earthquake prediction (EP). This ingenious and rational system can predict earthquake by aggregating changed animal behavior combined with environmental and chemical changes which are taken as real time inputs from sensors. The BRB expert system blends knowledge demonstration criterion like attribute weight, rule weight, belief degree. The intelligent BRB system with IoT predicts the probable occurrence of the earthquake in a region based on the sign and symptoms culled by the persistent sensors. The final result taken from Intelligent BRB system with IoT integration is compared with expert and fuzzy-based system. The projected method gives a better prediction than the up-to-date expert system and fuzzy system</span></p>


Author(s):  
Zhi-Jie Zhou ◽  
Guan-Yu Hu ◽  
Chang-Hua Hu ◽  
Cheng-Lin Wen ◽  
Lei-Lei Chang

2018 ◽  
Vol 161 ◽  
pp. 47-64 ◽  
Author(s):  
Leilei Chang ◽  
Zhijie Zhou ◽  
Yuwang Chen ◽  
Xiaobin Xu ◽  
Jianbin Sun ◽  
...  

2021 ◽  
Vol 564 ◽  
pp. 220-236
Author(s):  
Leilei Chang ◽  
Limao Zhang ◽  
Xiaojian Xu

2013 ◽  
Vol 39 ◽  
pp. 159-172 ◽  
Author(s):  
Leilei Chang ◽  
Yu Zhou ◽  
Jiang Jiang ◽  
Mengjun Li ◽  
Xiaohang Zhang

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