IJIMT 2014 Vol.5(1): 56-60 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2014.V5.486

Hierarchical Hybrid Fuzzy Decision Making in Multi Agent Time Critical Environment

Maziar Ahmad Sharbafi, Omid Amirghiasvand, and Saeed Ansari Ramandi
Abstract— In multi-agent decision making, the agents’ ability to coordinate with each other to accomplish a common goal is one of the most significant multi-disciplinary problems. Combination of centralized and distributed approaches namely hybrid approach is the main contribution of this paper which is applied to a crisis management after occurrence of earthquake. Choosing the proper technique fitting exactly to this attitude is another complexity of such problems. In our investigations, Fuzzy Decision making which is the most similar method to human ones, was selected. This approach, in addition to elevate the flexibility of the decisions, is the best choice to prepare hybrid decision making. The rescue simulation is considered as the test-bed for our performance evaluations; our results are compared with the powerful teams in RoboCup 2008 competitions.

Index Terms— Centralized and distributed cooperation, hybrid fuzzy decision making, multi-agent decision making.

M. A. Sharbafi and O. Amirghiasvand are with the Islamic Azad University of Qazvin, Barajin, Qazvin, Iran (e-mail: sharbafi@ut.ac.ir, amirghiasvand@qiau.ac.ir).
S. A. Ramandi is with the Cinnober Financial Technology AB, Stockholm, Sweden (e-mail: saeed.ansari@gmail.com).

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Cite: Maziar Ahmad Sharbafi, Omid Amirghiasvand, and Saeed Ansari Ramandi, " Hierarchical Hybrid Fuzzy Decision Making in Multi Agent Time Critical Environment," International Journal of Innovation, Management and Technology vol. 5, no. 1, pp. 56-60, 2014.

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