The main aim of this study is to develop a ranking algorithm in neutrosophic environment and applying this algorithm to choose the best option for investment selection problems. Firstly, the concept of single valued triangular neutrosophic numbers (SVTrN-numbers) and it’s characteristics are presented briefly. Here we define the λ-weighted value of SVTrN-numbers and applied it to the best selection of investment selection problem (ISP). Finally, to determine the feasibility and validity of this algorithm, we compared the resultant ranking by the proposed method with other existing approaches.
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Karak et al. (2024) studied this question.
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