TY  - CONF
SN  - 9781457718847
Y1  - 2011///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857082512&doi=10.1109%2fNatPC.2011.6136302&partnerID=40&md5=b3f77ebe5f3e26410b9a86d85787ac1a
A1  - Ahmad, A.H.
A1  - Jaafar, J.
A1  - Mahmood, A.K.
AV  - none
CY  - Perak
KW  - Agent based; Agent-based approach; Designing process; Developed countries; Dynamic environments; Electric generation; Fire rescue; Human expert; Low level; Malaysia; Monitoring process; Oil and gas; Personal monitoring; Profit margin; Safety awareness; Safety issues; Simulation systems; type-2 fuzzy
KW  -  Gas plants; Hazards; Intelligent agents; Profitability
KW  -  Sustainable development
ID  - scholars1641
TI  - Agent-based personal monitoring system simulation using type-2 fuzzy
N2  - Towards being a developed country, Malaysia has started the new era where every industry adopting new technologies and innovations to improve their operations, services and profit margin. In the middle of this modernization, there is a part where each industry must obey to. It's the safety issue. In Malaysia, safety awareness still at low level and people seems doesn't care about safety which sometime may cause harm to themselves. Worse case if the incidents happen during work. In this paper, we propose an agent-based personal monitoring system using type-2 fuzzy to simulate the monitoring process for our worker at time of hazard operation. This simulation applies for dedicated person who works in hazard place such as oil and gas plant, sewerage main hole, fire rescue and underground electric generation plant in Malaysia. To design and develop this simulation system, we applied the agent-based approach as it ease the designing process by picturing the real entities of stakeholder to agents in the simulation system. Agents in this simulation help in decision making for personal monitoring using type-2 fuzzy. Type-2 fuzzy is the engine of monitoring, where it defines the relationship of input (sensors) and output (actuators) of this particular domain. Type-2 fuzzy basically make precise the uncertain inputs, so that the output will be TRUE and reliable. It's crucial to generate this type of output as we are dealing with human expert workers life. The combination of agents and type-2 fuzzy is suitable for dynamic environment like this domain. © 2011 IEEE.
N1  - cited By 1; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
ER  -