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  • 1.
    Hilletofth, Per
    et al.
    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.
    Sequeira, Movin
    Department of Supply Chain and Operations Management, School of Engineering, Jönköping University, Jönköping, Sweden.
    Adlemo, Anders
    Department of Computer Science and Informatics, School of Engineering, Jönköping University, Jönköping, Sweden.
    Three novel fuzzy logic concepts applied to reshoring decision-making2019In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed)
    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. 

  • 2. Lättilä, Lauri
    et al.
    Hilletofth, Per
    Högskolan i Skövde.
    Lin, Bishan
    Hybrid simulation models: When, Why, How?2010In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 37, no 12, p. 7969-7975Article in journal (Refereed)
    Abstract [en]

    Agent-Based Modeling and Simulation (ABMS) and System Dynamics (SD) are two popular simulation paradigms. Despite their common goal, these simulation methods are rarely combined and there has been a very low amount of joint research in these fields. However, it seems to be advantageous to combine them to create more accurate hybrid models. In this research, the possible ways to combine these methods are studied. The authors have found five different situations where it will be useful to combine these methods. All of them have already been used in earlier studies, so modelers should use them as possible interfaces to combine the methodologies. By using hybrid simulation models it is possible to create more accurate and reliable Expert Systems (ES).

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