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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences
Md. Mahashin Mia
University of Chittagong
Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Materials Science & Nanotechnology Mathematics Physics

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An internet of things belief rule base smart system to predict earthquake Md. Mahashin Mia; Abdullah Al Hasan; Rahman Atiqur; Rashed Mustafa
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 10, No 2: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v10.i2.pp149-156

Abstract

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
Evidential reasoning based decision system to select health care location Md. Mahashin Mia; Atiqur Rahman; Mohammad Shahadat Hossain
International Journal of Advances in Applied Sciences Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (911.123 KB) | DOI: 10.11591/ijaas.v9.i3.pp201-210

Abstract

The general public’s demand of Bangladesh for safe health is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced medical resources is deteriorating the assurance of safe health of the people. Therefore, the new hospital construction with rational allocation of resources is imminent and significant. The site selection for establishing a hospital is one of the crucial policy-related decisions taken by planners and policy makers. The process of hospital site selection is inherently complicated because of this involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for hospital by taking account of large number of criteria, where there exist factors of both subjective and objective nature.
Co-Authors Abdullah Al Hasan Atiqur Rahman Mohammad Shahadat Hossain Rahman Atiqur Rashed Mustafa