Design and Implementation of Organizational Architecture in Organizations in Charge of Combating Smuggling of Goods and Currency with the Aim of Improving the Management of Organizational Networks

In the current situation, one of the concerns in the fight against smuggling of goods and currency is the improvement of the inter-organizational network. The purpose of this research is to design and implement organizational architecture to improve the management of organizational networks with SWOT approach, in this area using the artificial neural network toolbox and fuzzy logic in Matlab. This research is applied-modeling in terms of purpose. The statistical population includes expert professors and experts of organizations in charge of combating smuggling of goods and currency. After distributing 100 questionnaires, the sample size of this study is equal to 96 experts who were selected by a combination of two methods of non-probabilistic purposive sampling and snowball sampling. The results show that using the intelligent system, the status of success of the organization’s network management can be examined numerically and more accurately: In terms of ideal importance, if; The Network Management Based on EA Application Layer status is good, ie exactly 0.813, and Network management based on EA data source layer is good, ie exactly 0.824, and Network Management Based on EA Central Component Layer is good, ie exactly 0.819, and Network Management Based on EA Data Preparation Layer is good, ie exactly 0.812, and Network management based on EA service quality layer in good condition, ie exactly 0.815; Then; The status of successful implementation of the organization’s network management is at the top level (fifth level), ie exactly 0.952. According to the membership functions of language variables by experts, the value of 4.76 within the 5-value range in the range defined for the excellent language variable, ie the success status of the organization’s network management, has been calculated exactly 0.952.