Abstract
Purpose. Implementation of the algorithm that establishes the optimal number of inference rules when solving approximation problems in the process during the identification of the location of miners in conditions that are characterized with a certain degree of probability by the occurrence of circumstances or the occurrence of emergency situations with incomplete data certainty Method. The methods of scientific research, which include generalization and analysis of literary sources, methods of system analysis, methods of the theory of fuzzy logic and sets are used; software tools of the Fuzzy Logic Toolbox package and neuro-fuzzy network ANFIS of the MatLab computing system were used for numerical analysis. Results. The results of numerical modelling of the main parameters in the assessment of the quality of data transmission are presented, which allows obtaining, in conditions of incomplete data certainty, information about the state of radio lines of a wireless network and, subsequently, simplifies the structure of the software used to identify the location of miners. Scientific novelty. The results of numerical modelling of the main parameters of the data transmission environment are presented, namely, the level of data transmission speed, packet loss in the network, packet transmission delay time, both in the information direction of communication and in each section of this direction, with a description of the system’s response to certain conditions. Practical significance. The results of the application of the fuzzy logic apparatus have demonstrated the feasibility and effectiveness of the method used as a decision-making tool during the identification of the location of miners in conditions of incomplete data certainty. The practical significance lies in the improvement of the software of the complex technical solutions for identifying the location of miners, taking into account the characterized conditions with a certain degree of probability, the occurrence of circumstances or the occurrence of emergency situations with incomplete data certainty in the part of building information systems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
