Statistical Analysis for Food Quality in the Presence of Vague Information

The present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The applicati...

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Main Authors:	Ali Hussein Al-Marshadi, Muhammad Aslam
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Journal of Food Quality
Online Access:	http://dx.doi.org/10.1155/2021/7373620

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spelling	doaj-1878c1cc07ee4239a4ae646ce9c25c432021-09-27T00:51:48ZengHindawi-WileyJournal of Food Quality1745-45572021-01-01202110.1155/2021/7373620Statistical Analysis for Food Quality in the Presence of Vague InformationAli Hussein Al-Marshadi0Muhammad Aslam1Department of StatisticsDepartment of StatisticsThe present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The application of the proposed test is given using the food industry data. The efficiency of the proposed test is compared with that of the existing test in terms of the measure of indeterminacy, flexibility, and information. From the real application and comparative studies, it is concluded that the proposed test is quite reasonable to apply in uncertainty.http://dx.doi.org/10.1155/2021/7373620
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ali Hussein Al-Marshadi Muhammad Aslam
spellingShingle	Ali Hussein Al-Marshadi Muhammad Aslam Statistical Analysis for Food Quality in the Presence of Vague Information Journal of Food Quality
author_facet	Ali Hussein Al-Marshadi Muhammad Aslam
author_sort	Ali Hussein Al-Marshadi
title	Statistical Analysis for Food Quality in the Presence of Vague Information
title_short	Statistical Analysis for Food Quality in the Presence of Vague Information
title_full	Statistical Analysis for Food Quality in the Presence of Vague Information
title_fullStr	Statistical Analysis for Food Quality in the Presence of Vague Information
title_full_unstemmed	Statistical Analysis for Food Quality in the Presence of Vague Information
title_sort	statistical analysis for food quality in the presence of vague information
publisher	Hindawi-Wiley
series	Journal of Food Quality
issn	1745-4557
publishDate	2021-01-01
description	The present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The application of the proposed test is given using the food industry data. The efficiency of the proposed test is compared with that of the existing test in terms of the measure of indeterminacy, flexibility, and information. From the real application and comparative studies, it is concluded that the proposed test is quite reasonable to apply in uncertainty.
url	http://dx.doi.org/10.1155/2021/7373620
work_keys_str_mv	AT alihusseinalmarshadi statisticalanalysisforfoodqualityinthepresenceofvagueinformation AT muhammadaslam statisticalanalysisforfoodqualityinthepresenceofvagueinformation
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Statistical Analysis for Food Quality in the Presence of Vague Information

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