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Three novel fuzzy logic concepts applied to reshoring decision-making
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Department of Industrial Engineering and Management, University of Gävle, Sweden.ORCID iD: 0000-0002-8305-4412
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
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
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-43403DOI: 10.1016/j.eswa.2019.02.018ISI: 000464486100012Scopus ID: 2-s2.0-85063033919OAI: oai:DiVA.org:hj-43403DiVA, id: diva2:1301358
Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2019-05-08Bibliographically approved

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Hilletofth, PerSequeira, MovinAdlemo, Anders

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Output format
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