Food Quality Inspection Using Uncertain Rank Data

被引：0
|
作者：
Aslam, Muhammad [1 ]
机构：
[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21551, Saudi Arabia
来源：
FOOD ANALYTICAL METHODS | 2022年 / 15卷 / 08期
关键词：
Statistical test; Inference; Classical statistics; Simulation; Food data; STATISTICAL-ANALYSIS; VALUES;
D O I：
10.1007/s12161-022-02279-2
中图分类号：
TS2 [食品工业];
学科分类号：
0832 ;
摘要：
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.
引用
收藏
页码：2306 / 2311
页数：6
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