COMPLEX SYSTEM TACIT KNOWLEDGE EXTRACTION THROUGH A FORMAL METHOD. Issue 4 (28th December 2017)

• Record Type: Journal Article
• Authors: Wajnberg, Mickael; Lezoche, Mario; Massé, Blondin Alexandre; Valtchev, Petko; Panetto, Hervé
• Is Part Of: Insight. Volume 20:Issue 4(2017)
• Page Start: 23
• Page End: 26
• Publication Date: 2017-12-28
• Subjects: Systems engineering -- Periodicals; Systems engineering; Periodicals; 620.0011
• DOI: 10.1002/inst.12176
• Languages: English
• ISSNs: 2156-485X

Abstract

ABSTRACT: A complex system integrates multiple sub‐systems and contains both knowledge in each sub‐system and in their connections. This paper aims to present the relational concept analysis as a method to extract "connection" knowledge as much as the sub‐system contained knowledge. A use case from neurology to validate the approach is introduced. A brain is a system that can be studied through different clinical examinations, therefore each clinical examination can be considered as a sub‐system.