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Three novel fuzzy logic concepts applied to reshoring decision-making
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management. University of Gävle, Center for Logistics and Innovative Production. Department of Supply Chain and Operations Management, School of Engineering, Jönköping University, Jönköping, Sweden.ORCID iD: 0000-0002-8305-4412
Department of Supply Chain and Operations Management, School of Engineering, Jönköping University, Jönköping, Sweden.
Department of Computer Science and Informatics, School of Engineering, Jönköping University, Jönköping, Sweden.
2019 (English)In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed) Published
Abstract [en]

This paper investigates the possibility of increasing the interpretability of fuzzy rules and reducing the complexity when designing fuzzy rules. To achieve this, three novel fuzzy logic concepts (i.e., relative linguistic labels, high-level rules and linguistic variable weights) were conceived and implemented in a fuzzy logic system for reshoring decision-making. The introduced concepts increase the interpretability of fuzzy rules and reduce the complexity when designing fuzzy rules while still providing accurate results. 
Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 126, p. 133-143
Keywords [en]
Decision-making, Fuzzy logic, High-level rule, Linguistic variable weight, Relative linguistic label, Reshoring, Computer circuits, Decision making, Fuzzy inference, Fuzzy rules, Linguistics, Fuzzy logic system, High-level rules, Interpretability, Linguistic labels, Linguistic variable
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:hig:diva-30589DOI: 10.1016/j.eswa.2019.02.018ISI: 000464486100012Scopus ID: 2-s2.0-85063033919OAI: oai:DiVA.org:hig-30589DiVA, id: diva2:1345867
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2025-12-15Bibliographically approved

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Hilletofth, Per

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CiteExportLink to record
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