Notice of RetractionApplication of two intelligent methods for firefighting systems in rescue environment with new parameters on modeling

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In this paper, modeling of firefighting systems and the influence of new parameters on modeling have been studied. In the first stage the environment with its circumstances is modeled. The plan of the simulated place, dimensions, blocked and unblocked paths are introduced in this model. Number, age, the position of victims and fire starting point are the other parameters which should be foreseen. Then the fireman is modeled according to this position, possible movement directions and rescue plan. In this environment, the modeled fireman is supposed to search for victims using Fuzzy Logic Search and Neural Networks as two intelligent methods. We use same scenario for the environmental parameters to make the comparison possible. Objective function in this study is the number of people that can be found and survived in restricted time.