Mean estimation under indeterminacy using a novel class of neutrosophic estimators

Key Points

• Mean estimation improves under indeterminacy with new neutrosophic estimators, offering advanced solutions.
• The proposed method adapts to uncertainty levels, incorporating both precise and imprecise elements to enhance accuracy.
• Analysis of various scenarios shows that neutrosophic estimators outperform traditional estimation techniques.
• This methodology highlights the potential for better decision-making under conditions of uncertainty.