Statistical Analysis for Food Quality in the Presence of Vague Information | Zendy

Ali Hussein AL-Marshadi | Zendy; Muhammad Aslam | Zendy

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Statistical Analysis for Food Quality in the Presence of Vague Information

Author(s) -

Ali Hussein AL-Marshadi,

Muhammad Aslam

Publication year - 2021

Publication title -

journal of food quality

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.568

H-Index - 43

eISSN - 1745-4557

pISSN - 0146-9428

DOI - 10.1155/2021/7373620

Subject(s) - statistic , test (biology) , flexibility (engineering) , statistics , measure (data warehouse) , quality (philosophy) , computer science , test statistic , statistical hypothesis testing , data mining , mathematics , econometrics , paleontology , philosophy , epistemology , biology

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.

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