Decision support system for real-time segmentation and identification algorithm for wires in mobile terminals using fuzzy AHP method

• Published in: Soft computing (Berlin, Germany) Vol. 26; no. 20; pp. 10915 - 10926
• Main Authors: Wang, Lei, Chu, Mingyue, Sheng, Congbing, Chen, Peng, Gao, Guanlong
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-10-2022
• Subjects: Artificial Intelligence; Computational Intelligence; Control; Engineering; Focus; Mathematical Logic and Foundations; Mechatronics; Robotics; Real-time segmentation; Essential module; Fuzzy AHP; Wires; Computer-assisted system
• ISSN: 1432-7643; 1433-7479
• DOI: 10.1007/s00500-022-07197-3

In computer-assisted systems, real-time instrument segmentation is an essential module, and real-time segmentation conducted against streaming data reaches into treasure data in real time. The major benefit of real-time segmentation is that it can be used to build categories based on new movements made by users on a website, such as those who are searching or coming for the first time. Furthermore, real-time segmentation and identification algorithms for wires in mobile terminals are extensively used and be useful and efficient in this process. In this study, we employed the Fuzzy Analytical Hierarchy Process (FAHP) to evaluate real-time segmentation and identification methods. FAHP is a simple and intuitive method for calculating the weights of alternatives, criteria, and ranking them to identify the most efficient and effective solution. In this research, we have used the FAHP approach with fuzzy geometric mean values to rank six criteria and three alternatives. The FAHP approach is generally used in multi-decision-making situations where ambiguity and uncertainty are involved. It was tried to increase the context for the creative growth of real-time segmentation and identification algorithms for wires by evaluating these possibilities.