This article discusses the problems of developing and researching an expert-advisory system for driving vehicles with fuzzy initial data information. One way to solve the problem is to create a situational-control device based on the achievements of modern electronics, micro-electronics, computer and microprocessor technology, microcontrollers and information technologies, i.e. Automated vehicle control systems.
The main part of the article discloses the experience of operating vehicles, the task of driving a car (object), as well as making decisions in one or another emerging situation, since the driver needs outside advice for the right decision in this situation.
To evaluate the semantics of fuzzy concepts, the so-called linguistic variables are used in the form of diagrams and tables. This is a special form of organization of expert information, on the basis of which categories are identified.
The statement of the problem is formulated and the structure of the developed system and the ways to solve the problem are proposed.
| № | Имя автора | Должность | Наименование организации |
|---|---|---|---|
| 1 | Azizov S.A. | дотцент | 1Karshi Engineering and Economics Institute. |
| 2 | Rakhmanov A.A. | o'qituvchi | 1Karshi Engineering and Economics Institute. |
| № | Название ссылки |
|---|---|
| 1 | 1. Usmonov, J., Jiyanbekov, K., Azimov, S. (2019). The probability model of railway transport system activity. Paper presented at the Transport Means - Proceedings of the International Conference, , 2019-October 1256-1259. Retrieved from www.scopus.com |