A novel approach based on neutrosophic Bonferroni mean operator of trapezoidal and triangular neutrosophic interval environments in multi‑attribute group decision making

• 主要な著者: D. Nagarajan, D. Nagarajan, A. Kanchana, A. Kanchana, Kavikumar Jacob, Kavikumar Jacob, Nasreen Kausar, Nasreen Kausar, SeyyedAhmad Edalatpanah, SeyyedAhmad Edalatpanah, MohdAsif Shah, MohdAsif Shah
• フォーマット: 論文
• 言語: English
• 出版事項: 2023
• 主題: T Technology (General)
• オンライン･アクセス: http://eprints.uthm.edu.my/10137/1/J16285_f3bf0f92b64e4c68c2a2d5c9f8c52d63.pdf; http://eprints.uthm.edu.my/10137/; https://doi.org/10.1038/s41598-023-37497-z

Neutrosophic multicriteria is a method of decision-making that uses indeterminacy to combine several criteria or elements, frequently with incomplete or ambiguous information, to fnd a solution. The neutrosophic multicriteria analysis enables the assessment of qualitative and subjective aspects and can assist in resolving conficting goals and preferences. In the Neutrosophic Multi-Attribute Group Decision Making (NMAGDM) problems, all the information provided by the decision makers (DMs) is expressed as single value neutrosophic triangular and trapezoidal numbers examined in this study which can provide more fexibility and accuracy in capturing uncertainty and aggregating preferences. We ofer a novel approach for determining the neutrosophic possibility degree of two and three trapezoidal and triangular neutrosophic sets and the concepts of neutrosophic possibility mean value. The trapezoidal and triangular neutrosophic Bonferroni mean (TITRNBM) operator and the trapezoidal and triangular neutrosophic weighted Bonferroni mean (TITRNWBM) operator are two aggregation methods we then create. Further, we examine the TITRNBM and TITRNWBM attributes and their uniqueness. The NMAGDM approach with trapezoidal and triangular information is suggested based on the TITRNWBM operator and possibility degree. Finally, a concrete example of manufacturing companies searching for the best supplier for assembling the critical parts is provided to validate the established strategies and show their practical applicability and efcacy.