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[학술저널]

  • 학술저널

S. M. Khairova(Financial University under the Government of the Russian Federation) V. A. Kovalev(Financial University under the Government of the Russian Federation) B. G. Khairov(Financial University under the Government of the Russian Federation) A. V. Shimohin(Omsk State Agrarian University)

DOI : 10.7232/iems.2019.18.3.454

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The research goal is to test the ability of neural networks to solve management problems, e.g. to select a car service provider. To achieve this, the authors proposed a reliability scale of a car service provider and obtained a dependence to assess this reliability. These procedures provided the data that were used to train a neural network. The authors applied the expert method to obtain the weights of the parameters describing car service providers. The opinions of experts were used to compile the characteristics of the car service providers. These data helped train neural networks to identify the most optimal parameters for solving this problem – to select of a car service provider. The conducted research confirms the ability of neural networks to solve management problems of choosing service providers. The study revealed the most appropriate type and structure of the neural network for dealing with such a management task. The findings of the study can be used to create a software product that can help managers choose a service provider. Besides the authors proposed the criteria for identifying changes in the quality of services provided.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHOD
4. RESULTS
5. DISCUSSION
6. CONCLUSION
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