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DSM Relational Structures Extended With Fuzzy Sets Of Higher Types
Department of Computing Science, Umeå University, Umeå, Sweden.ORCID iD: 0000-0003-3965-2834
Örebro University, School of Science and Technology. (Mechanical Engineering, Digitalized product and production development)ORCID iD: 0000-0002-2014-1308
Örebro University, School of Science and Technology. (Mechanical Engineering, Digitalized product and production development)ORCID iD: 0000-0003-4720-0897
Örebro University, School of Science and Technology. (Mechanical Engineering, Digitalized product and production development)ORCID iD: 0000-0002-4350-7843
2025 (English)In: 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, p. 21-30Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
2025. p. 21-30
Keywords [en]
many-valued relation, powerset, relational composition, fuzzy set of higher type, mineral mining
National Category
Computer Sciences Mechanical Engineering
Research subject
Computer Science; Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-122250OAI: oai:DiVA.org:oru-122250DiVA, id: diva2:1980583
Conference
27th International DSM Conference (DMS 2025) - Integrating systems across multiple domains, Stevens Institute of Technology in Hoboken, NJ, USA, September 24-26, 2025
Funder
VinnovaAvailable from: 2025-07-02 Created: 2025-07-02 Last updated: 2025-09-30Bibliographically approved

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Löfstrand, MagnusPaul, SatyamGoodarzi, Mehdi

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