Document Type : Research Paper
Authors
Abstract
Decision making by managers of different organizations is not something merely quantitative but it needs synthesizing and processing quantitative data and qualitative knowledge. With regard to the nature of the problem, dynamic behavior of managers, and complexities of strategic decision making, artificial neuron networks may be a good help for decision makers. These networks are helpful since they copy and represent the natural ones. The value of neural network technology lies in its application for recognizing patterns, learning, classification, generalization, summarizing and interpreting incomplete inputs. Neural networks are potential factors for providing some human characteristics which are used in problem solving. Simulation using logical and analytical techniques and decision support systems or even expert systems is difficult. The aim of this paper is, as well as presenting new findings, to describe the application of artificial neural networks in strategic decision making by managers. In this paper, the artificial neural networks are discussed to use a decision model within comparative strategic decision making in management. It describes the way networks are applied and accepted within strategic decision making. In chapter one the literature of artificial neuron networks is reviewed. In the second chapter, the principal idea of strategic decision making framework and, on the third, how to make a decision model based on artificial neuron networks are discussed. On the whole, the main purpose of the paper is to understand the human natural neuron networks and to reconstrnct this function artificially to use it in strategic decision making. In summary, artificial neuron networks learn from experience. They are used for making complex and repetitive decisions. They focus on the known patterns and are able to decide and predict on the basis of the previous instances. In future, decision making techniques of artificial network will be applied for all strategic cases and for every strategic case a unique artificial network will be planned and different decisions will be made.
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