Hierarchical Fuzzy Signatures approach for a piloted quality management system

There are many areas where objects with very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model difficult to construct effectively. This paper presents a Hierarchical Fuzzy Signatures (HFS) approach for improving the effectiveness and efficiency of quality-management system (QMS). The goal is to classify the objectives for a real-world case study. The latter was chosen because it presents a major problem for controlling the quality levels of its production lines. With the use of this fuzzy signature structure, complex decision models in the quality management field should be able to be constructed more effectively. In fact, this study provides a path for designing a tool for decision support to ensure the effectiveness of a corporate QMS.