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Eklund, P., Löfstrand, M., Paul, S. & Goodarzi, M. (2025). DSM Relational Structures Extended With Fuzzy Sets Of Higher Types. In: Ali A. Yassine; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger (Ed.), Proceedings of the 27th International DSM Conference (DSM 2025), Hoboken, NJ, USA: . Paper presented at 27th International DSM Conference (DMS 2025) - Integrating systems across multiple domains, Stevens Institute of Technology in Hoboken, NJ, USA, September 24-26, 2025 (pp. 21-30).
Öppna denna publikation i ny flik eller fönster >>DSM Relational Structures Extended With Fuzzy Sets Of Higher Types
2025 (Engelska)Ingår i: Proceedings of the 27th International DSM Conference (DSM 2025), Hoboken, NJ, USA / [ed] Ali A. Yassine; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger, 2025, s. 21-30Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this paper we show how relational representations of design structure matrices (DSM), on the one hand, enables to describe domain dependencies and connections as relational composition, and, on the other hand, invites to using a variety of algebraic structures for the sets of qualifications attached with non-binary matrices. Particularly, we use fuzzy sets of higher types to model qualifications in many-valued DSMs where compositional techniques allow for extending the use of fuzzy sets of higher types also in the setting of multidomain matrices (MDM). We further show how clustered domains can be embedded as modelled within powersets of domains, thus providing a further justification for adopting the relational view of DSMs, particularly as the qualification space needs to support folding and unfolding across hierarchies in clustered domains. Our case study is drawn from scenarios involving maintenance of equipment in mineral mining.

Nyckelord
many-valued relation, powerset, relational composition, fuzzy set of higher type, mineral mining
Nationell ämneskategori
Datavetenskap (datalogi) Maskinteknik
Forskningsämne
Datavetenskap; Maskinteknik
Identifikatorer
urn:nbn:se:oru:diva-122250 (URN)
Konferens
27th International DSM Conference (DMS 2025) - Integrating systems across multiple domains, Stevens Institute of Technology in Hoboken, NJ, USA, September 24-26, 2025
Forskningsfinansiär
Vinnova
Tillgänglig från: 2025-07-02 Skapad: 2025-07-02 Senast uppdaterad: 2025-09-30Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-4350-7843

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