Document Type : Research Paper
Authors
Abstract
To begin with, the chaos theory is used to understand and predict random attitudes of complex systems concerning the nonlinear reciprocal effect of their components. Besides, the pivotal point of chaotic systems is that they are sensitive even to the minimal changes in the primary conditions of complex organizations. One of the procedures of modeling framework improvement prone to chaos theory is paying attention to the role of communication canals that are the main elements of complexity of modem organizations. In this article, on communication networks of individuals within the organization in the complicated type, the capability of complexity of organization is being studied, using the chaos theory. In addition, the purpose of the mentioned issue is not its remedy. Quite the contrary, it is a comparison about the communication structures of multi-agent organizations through determining the probability entropy and measuring uncertainty function prone to the significance of prediction and accounting of complexity and using the matching probability function with the new projects in communicational canals and also the capabilities of the individuals within the data processing.
However, using the concepts and accounting based on the actual data and functions determined by Polay's approach and accounting entropy of functions, the model is expected to predict and affect the integral attitude in co-ordination with the complexity. Consequently, the results show that the flexible communicational networks are necessarily proportionate with any project in any particular period of time and with the capabilities of individuals and instruments involved in the project. In conclusion, it is not sufficient to use one particular ultimate network in the management of the
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