Many decision making problems may be solved with Heuristic search algorithms. Expert systems taking decisions in competitive situation in uncertain environment/fuzzy environment may take a graph-search algorithm to tackle the situation. To improve the performance of the overall system, a set of important parameters of the decision making system is identified. Optimization methods such as Neural Network (N.N.) is used for the learning of the optimum parameters and also for an improvement of the performance.
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P. Parida; S. Sahoo, "Optimization of fuzzy expert systems using neural network in decision-making in competitive situation ", Journal of Ultra Scientist of Physical Sciences, Volume 21, Issue 2, Page Number 521-530, 2018Copy the following to cite this URL:
P. Parida; S. Sahoo, "Optimization of fuzzy expert systems using neural network in decision-making in competitive situation ", Journal of Ultra Scientist of Physical Sciences, Volume 21, Issue 2, Page Number 521-530, 2018Available from: https://www.ultrascientist.org/paper/1219/