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Choosing the best set of quality judges: A new quality tool
Author(s) -
Hoffman Lorrie L.
Publication year - 1991
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680070606
Subject(s) - quality (philosophy) , discernment , set (abstract data type) , computer science , pairwise comparison , multidimensional scaling , data mining , operations research , artificial intelligence , machine learning , engineering , philosophy , epistemology , programming language
Abstract This article presents a technique which allows one to choose the ‘best’ set of quality judges. The methodology can be applied to any situation requiring discernment of a qualified inspector of products or service. The approach presented in this article selects judges who align their quality criteria with the prevailing expert. Multidimensional scaling is conducted on a disagreement matrix formed by executing multiple pairwise comparisons. An example of voice quality judging is included in the article as a practical example of the technique.