Food Quality Inspection Using Uncertain Rank Data

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.