Knowledge reasoning of transmission line component detection using CRITIC and TOPSIS approaches

With the fast advancement of computer technology, the communication industries have used innovative approaches broadly to improve transmission media and facilitate communication. A transmission medium, often known as a line, is a path that allows data to be transmitted between the sender and recipient. Data are transferred using electromagnetic impulses. Between the sender and the destination, there is a wire-based linkage for the transfer of data. The transmission medium's primary function is to transport bits of data over a network. Transmission line technology has advanced quickly to facilitate easier communication between sender and recipient. Transmission lines are upgraded and communication is improved using upgraded cables like optical fiber and coaxial cable. Communication is still absolutely necessary even when there is heavy jamming and poor propagation, especially when there are interruptions brought on by fabricated nuclear disasters. For component detection in transmission media/lines, various techniques are employed. In the study that is being reported, we used two MCDM-based techniques for decision-making: The technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Criteria Importance Through Inter Criteria Correlation (CRITIC). Here, in order to improve our decision-making, we choose seven criteria and eight choices. Each criterion is given a weight using the CRITIC approach, and the TOPSIS technique is used to select the best method out of those that are accessible. The choice with the best value is placed at the top, while the choice with the worst value is placed at the bottom. The results of the study that was provided indicate that the best strategy was chosen among the available options, and this study can be used as a recommendation for future planning and decision-making.