[{"citation":{"short":"H. Dörksen, V. Lohweg, in: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , IEEE, Luxembourg, 2015.","chicago-de":"Dörksen, Helene und Volker Lohweg. 2015. Automated Fuzzy Classification with Combinatorial Refinement. In: <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg: IEEE. doi:<a href=\"https://doi.org/ 10.1109/ETFA.2015.7301514,\"> 10.1109/ETFA.2015.7301514,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Dörksen, Helene</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Automated Fuzzy Classification with Combinatorial Refinement. In: <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg : IEEE, 2015","van":"Dörksen H, Lohweg V. Automated Fuzzy Classification with Combinatorial Refinement. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015 . Luxembourg: IEEE; 2015.","havard":"H. Dörksen, V. Lohweg, Automated Fuzzy Classification with Combinatorial Refinement, in: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , IEEE, Luxembourg, 2015.","mla":"Dörksen, Helene, and Volker Lohweg. “Automated Fuzzy Classification with Combinatorial Refinement.” <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>, IEEE, 2015, doi:<a href=\"https://doi.org/ 10.1109/ETFA.2015.7301514\"> 10.1109/ETFA.2015.7301514</a>.","bjps":"<b>Dörksen H and Lohweg V</b> (2015) Automated Fuzzy Classification with Combinatorial Refinement. <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg: IEEE.","ufg":"<b>Dörksen, Helene/Lohweg, Volker (2015)</b>: Automated Fuzzy Classification with Combinatorial Refinement, in: <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>, Luxembourg.","apa":"Dörksen, H., &#38; Lohweg, V. (2015). Automated Fuzzy Classification with Combinatorial Refinement. In <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg: IEEE. <a href=\"https://doi.org/ 10.1109/ETFA.2015.7301514\">https://doi.org/ 10.1109/ETFA.2015.7301514</a>","chicago":"Dörksen, Helene, and Volker Lohweg. “Automated Fuzzy Classification with Combinatorial Refinement.” In <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg: IEEE, 2015. <a href=\"https://doi.org/ 10.1109/ETFA.2015.7301514\">https://doi.org/ 10.1109/ETFA.2015.7301514</a>.","ama":"Dörksen H, Lohweg V. Automated Fuzzy Classification with Combinatorial Refinement. In: <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>. Luxembourg: IEEE; 2015. doi:<a href=\"https://doi.org/ 10.1109/ETFA.2015.7301514\"> 10.1109/ETFA.2015.7301514</a>","ieee":"H. Dörksen and V. Lohweg, “Automated Fuzzy Classification with Combinatorial Refinement,” in <i>20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. </i>, 2015."},"title":"Automated Fuzzy Classification with Combinatorial Refinement","status":"public","publisher":"IEEE","department":[{"_id":"DEP5023"}],"year":2015,"author":[{"id":"46416","first_name":"Helene","full_name":"Dörksen, Helene","last_name":"Dörksen"},{"last_name":"Lohweg","id":"1804","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887"}],"abstract":[{"lang":"eng","text":"In modern industrial applications driven by Cyber-physical systems (CPS) it is a challenging task to model and optimize processes such as machine analysis and diagnosis. Since the CPS have to act autonomously, a procedure for automated decision making has to be designed. In our work we concentrate on the design of a decision procedure by a fuzzy classifier approach. For our application on decision making in an industrial environment, a fuzzy approach was picked as convenient classification technique regarding balance between accuracy and computational time. We present a supervised learning method called FUZZY-ComRef which combines fuzzy classification and our combinatorial refinement method, called ComRef [1]. Due to the fact that fuzzy classification might behave inaccurately for some datasets, the aim of our approach is to improve the results provided by the (stand-alone) fuzzy classification. We show the performance of FUZZY-ComRef evaluated on the samples from the UCI Repository and on our real-world dataset Motor Drive Diagnosis. In addition, we discuss the quadratic computational time problem arising from the combinatorial nature of ComRef. Furthermore, we show based on real-time evaluations that within parallelisation the proposed FUZZY-ComRef is suitable to many applications in CPS."}],"date_updated":"2023-03-15T13:49:39Z","user_id":"68554","type":"conference","date_created":"2019-12-04T09:23:21Z","publication":"20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. ","publication_identifier":{"eisbn":[" 978-1-4673-7929-8"]},"language":[{"iso":"eng"}],"place":"Luxembourg","keyword":["Support vector machines","Accuracy","Time complexity","Decision making","Motor drives","Shape","Sensors"],"doi":" 10.1109/ETFA.2015.7301514","_id":"2136"}]