![]() ![]() The results show that the suggested strategy is efficient and relevant to real-world situations.Ĭitation: Ayesha Khan, Uzma Ahmad, Adeel Farooq, Mohammed M. The performance of the suggested technique is validated using scenario analysis. ![]() To complement the extended approach, the proposed technique is used to select the best alternative for a real-time traffic management system. CAVs can help manage traffic by acting as enforcers. As a result of connected autonomous vehicle (CAV) advances, the benefits of real-time traffic management systems have grown dramatically. Real-time traffic management is one solution to the problem of road congestion. Congested transportation networks may be made more efficient by leveraging digital transformation. Our inspiration for employing the notion of $ 2 $TL$ q $-RPFSs is the ability of $ q $-RPFSs to support a wide range of information and the significant qualities of $ 2 $-tuple linguistic term sets to handle qualitative data. Furthermore, two aggregation operators, namely the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein weighted average and the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein order weighted average, are introduced. ![]() To compute the normal weights of attributes, the entropy weighting information process is used. The CODAS technique computes the distances from the negative ideal solutions and ranks the alternatives in increasing order. The current work's major purpose is to research and develop the combinative distance-based assessment (CODAS) approach by employing $ 2 $-tuple linguistic $ q $-rung picture fuzzy sets ($ 2 $TL$ q $-RPFSs) as a background. These strategies also efficiently assist researchers in resolving challenges that may arise throughout their study activity. Multi-criteria group decision-making (MCGDM) approaches have a substantial effect on decision-making in a range of critical sectors, including science, business, and real-life research. ![]()
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