Volume 23 , Issue 2 , PP: 116-128, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Ashraf Al-Quran 1 , Faisal Al-Sharqi 2 , Hamiden Abd El- Wahed Khalifa 3 , Aziza Algarni 4 , Ali M. A. Bany Awad 5 , Heba Ghareb Gomaa 6
Doi: https://doi.org/10.54216/IJNS.230210
This paper aims to introduce and explore the innovative concept of T-spherical fuzzy valued neutrosophic sets (T-SFVNSs) in the context of multi-attribute decision making (MADM). The T-SFVNSs are utilized to develop two key aggregation operators: the T-spherical fuzzy valued neutrosophic weighted average operator (T-SFVNWAO) and the T-spherical fuzzy valued neutrosophic weighted geometric operator (T-SFVNWGO). These operators are defined based on the operational rules of T-SFVNNs. The properties of these operators, including idempotency, boundedness, and monotonicity, are rigorously examined and established. To demonstrate the practicality and relevance of the T-SFVN operators, an algorithm and a numerical application are presented. The algorithm illustrates the step-by-step implementation of these operators, while the numerical application showcases their effectiveness in real-world scenarios. Additionally, a comparative analysis is conducted to evaluate the accuracy and performance of the proposed operators in relation to existing ones.
Aggregation Operators , Decision Making , Neutrosophic Set , Optimization , T-Spherical Fuzzy Valued Neutrosophic Sets.
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