By Topic

Agent-based personal monitoring system simulation using type-2 fuzzy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Azwin Hazrina Ahmad ; Computer and Information Science Department, Universiti Teknologi PETRONAS, Tronoh, Perak, Malaysia ; Jafreezal Jaafar ; Ahmad Kamil Mahmood

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.

Published in:

National Postgraduate Conference (NPC), 2011

Date of Conference:

19-20 Sept. 2011