An internet of things belief rule base smart system to predict earthquake

Md. Mahashin Mia (University of Chittagong)
Abdullah Al Hasan (University of Chittagong)
Rahman Atiqur (University of Chittagong)
Rashed Mustafa (University of Chittagong)

International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol 10, No 2: July 2021

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