Information and analytical support of management decision making under uncertainty for fire fighting in the marine ports

The article studies the problem of control of firefighting at the seaports under uncertainty, which consists of localization and extinguishing fire with minimum effort and resources within shortest time. The author has developed a model of fire fighting control at the seaports under conditions of uncertainty, the main elements of which are: a model of defining the fire area; a model of selecting the fire rank; an analytical model for evaluating resources sufficiency; an analytical model for resources selection; a neuro-fuzzy model for choosing optimal actions; an evaluation model of successful implementation of the plan; a model for implementation of neuro-fuzzy models. In comparison with existing models, distinctive features of the developed model are the following: application of combined membership functions that allow to perform more accurate approximation of input parameters values; implementation of the block of eliminating dynamic errors. This article assesses the model adequacy and confirms it through model verification and validation. The author has developed information and analytical management support system for fire fighting at seaports which can be used by the chief fire-fighters under uncertainty and is based on the developed model. The developed software is designed to raise the firefighters’ efficiency due to the increase of accuracy of managerial decisions taken by the chief firefighters and reduction of time necessary for decision making.