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Food Quality Inspection Using Uncertain Rank Data

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Abstract

The rank correlation test for agreement in multiple judgments under classical statistics cannot be applied when uncertainty/indeterminacy is present in rank data. In this paper, a rank correlation test for agreement in multiple judgments under neutrosophic statistics will be introduced. The proposed test has the capability to be applied when imprecise rank data is available. The proposed test is applied using the food quality data and compared with the existing tests. The analysis of food data is shown that the proposed test is productive and more explanatory than the existing tests.

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Acknowledgements

The author is deeply thankful to the editor and reviewers for their valuable suggestions to improve the quality of the paper.

Funding

The Deanship of Scientific Research at King Abdulaziz University.

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Authors and Affiliations

  1. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia

    Muhammad Aslam

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  1. Muhammad Aslam
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Correspondence to Muhammad Aslam.

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Muhammad Aslam declares that he has no conflict of interest.

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Aslam, M. Food Quality Inspection Using Uncertain Rank Data. Food Anal. Methods 15, 2306–2311 (2022). https://doi.org/10.1007/s12161-022-02279-2

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  • DOI: https://doi.org/10.1007/s12161-022-02279-2

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