Synergizing Neutrosophy and Randomized Blocks Design: Development and Analytical Insights

Title

Synergizing Neutrosophy and Randomized Blocks Design: Development and Analytical Insights

Creator

Kumari S.; Azarudheen S.

Description

The design of the experiment is a strategy for effectively examining the relationship between input design parameters and process output and developing a greater understanding. A randomized block design is an experimental design that has two primary factors and is widely used in agriculture, environment, biological, animal, and food sciences, where experimental material is heterogeneous and precise. In a randomised block design, one or more observations may lose their true significance due to an accident, poor handling, pest infestations in agricultural trials, or other factors. It is prudent to treat this value as missing and estimate it. In todays practical situations, uncertainty and inaccuracies are inevitable in most research areas. It is important to handle such data, which can lead to inaccurate and unreliable results. Neutrosophy is the branch of philosophy that provides an efficient method to study impreciseness among the data. Some of the common sources of Neutrosophy in randomised block design are incorrect blocking factor selection, measurement error, subjective factors, and natural variability. It is paramount to handle the Neutrosophy in a randomised block design; otherwise, it may lead to various problems, like a high risk of false positives. In this paper, the Neutrosophic Randomised Block Design (NRBD) is introduced to tackle data impreciseness. The study also, outlines a methodology for estimating missing observations in NRBD and presents its analysis. Additionally, the study compares the efficiency of NRBD to that of the Neutrosophic Completely Randomised Design (NCRD). 2024, American Scientific Publishing Group (ASPG). All rights reserved.

Source

International Journal of Neutrosophic Science, Vol-23, No. 1, pp. 125-133.

Date

2024-01-01

Publisher

American Scientific Publishing Group (ASPG)

Subject

Design of Experiment, Randomised Block Design; Neutrosophic Completely Randomised design; Neutrosophic Randomised Block Design; Neutrosophy

Coverage

Kumari S., Department of Statisitcs and Data Science, CHRIST (Deemed to be University), Bangalore, India; Azarudheen S., Department of Statisitcs and Data Science, CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISSN: 26926148

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.54216/IJNS.230111

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