Missing Value Estimation and Analysis in Neutrosophic RBD

The Randomized Block Design (RBD) is a fundamental experimental design widely utilized in agricultural and industrial research to control variation by grouping experimental units into homogeneous blocks. Moreover, real-world experiments are often subjected to various sources of uncertainty, includin...

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Main Authors: Masum Raj, S. C. Malik, Rahul Thakur
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/12NeutrosophicRBD.pdf
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author Masum Raj
S. C. Malik
Rahul Thakur
author_facet Masum Raj
S. C. Malik
Rahul Thakur
author_sort Masum Raj
collection DOAJ
description The Randomized Block Design (RBD) is a fundamental experimental design widely utilized in agricultural and industrial research to control variation by grouping experimental units into homogeneous blocks. Moreover, real-world experiments are often subjected to various sources of uncertainty, including indeterminate, vague, imprecise, and erroneous data, which further complicate the analysis. To address these challenges, this paper introduces a novel neutrosophic analysis approach using Neutrosophic Logic for handling missing values in RBD under an uncertain environment. To further illustrate the practical application and effectiveness of the Neutrosophic Randomized Block Design (NRBD), an illustrative example from the medical field is presented. Further, simulation study is conducted to evaluate the performance of various parameters across different sample sizes. The analysis demonstrates the efficacy of Neutrosophic Randomized Block Design in preserving the statistical properties of the dataset and ensures more accurate and reliable experimental conclusions.
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institution Kabale University
issn 2331-6055
2331-608X
language English
publishDate 2025-07-01
publisher University of New Mexico
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series Neutrosophic Sets and Systems
spelling doaj-art-4dfd989956494816b47b117fca2f5aa82025-08-20T04:03:26ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-07-018714916010.5281/zenodo.15625298Missing Value Estimation and Analysis in Neutrosophic RBDMasum RajS. C. MalikRahul ThakurThe Randomized Block Design (RBD) is a fundamental experimental design widely utilized in agricultural and industrial research to control variation by grouping experimental units into homogeneous blocks. Moreover, real-world experiments are often subjected to various sources of uncertainty, including indeterminate, vague, imprecise, and erroneous data, which further complicate the analysis. To address these challenges, this paper introduces a novel neutrosophic analysis approach using Neutrosophic Logic for handling missing values in RBD under an uncertain environment. To further illustrate the practical application and effectiveness of the Neutrosophic Randomized Block Design (NRBD), an illustrative example from the medical field is presented. Further, simulation study is conducted to evaluate the performance of various parameters across different sample sizes. The analysis demonstrates the efficacy of Neutrosophic Randomized Block Design in preserving the statistical properties of the dataset and ensures more accurate and reliable experimental conclusions. https://fs.unm.edu/NSS/12NeutrosophicRBD.pdfrandomized block designneutrosophic logicmissing valueanalysis of varianceneutrosophic randomized block design
spellingShingle Masum Raj
S. C. Malik
Rahul Thakur
Missing Value Estimation and Analysis in Neutrosophic RBD
Neutrosophic Sets and Systems
randomized block design
neutrosophic logic
missing value
analysis of variance
neutrosophic randomized block design
title Missing Value Estimation and Analysis in Neutrosophic RBD
title_full Missing Value Estimation and Analysis in Neutrosophic RBD
title_fullStr Missing Value Estimation and Analysis in Neutrosophic RBD
title_full_unstemmed Missing Value Estimation and Analysis in Neutrosophic RBD
title_short Missing Value Estimation and Analysis in Neutrosophic RBD
title_sort missing value estimation and analysis in neutrosophic rbd
topic randomized block design
neutrosophic logic
missing value
analysis of variance
neutrosophic randomized block design
url https://fs.unm.edu/NSS/12NeutrosophicRBD.pdf
work_keys_str_mv AT masumraj missingvalueestimationandanalysisinneutrosophicrbd
AT scmalik missingvalueestimationandanalysisinneutrosophicrbd
AT rahulthakur missingvalueestimationandanalysisinneutrosophicrbd