---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Helene
      foaf_name: Dörksen, Helene
      foaf_surname: Dörksen
      foaf_workInfoHomepage: http://www.librecat.org/personId=46416
  - foaf_Person:
      foaf_givenName: Volker
      foaf_name: Lohweg, Volker
      foaf_surname: Lohweg
      foaf_workInfoHomepage: http://www.librecat.org/personId=1804
    orcid: 0000-0002-3325-7887
  bibo_doi: ' 10.1109/ETFA.2015.7301514'
  dct_date: 2015^xs_gYear
  dct_language: eng
  dct_publisher: IEEE@
  dct_subject:
  - Support vector machines
  - Accuracy
  - Time complexity
  - Decision making
  - Motor drives
  - Shape
  - Sensors
  dct_title: Automated Fuzzy Classification with Combinatorial Refinement@
...