@inproceedings{2086,
  abstract     = {{Many of the existing fusion approaches based on Dempster-Shafer Theory (DST) tend to be unreliable in various scenarios. Therefore, this topic is still in discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification (FPC) concepts. The aim is to provide an approach to data fusion which provides a stable conflict scenario handling. Furthermore, the scheme can easily be extended to fuzzy classification and is applicable to sensor fusion applications. Therefore, the suggested approach will contribute as a novel fuzzy fusion method.}},
  author       = {{Lohweg, Volker and Mönks, Uwe}},
  booktitle    = {{The 2nd International Workshop on Cognitive Information Processing}},
  isbn         = {{978-1-4244-6457-9}},
  issn         = {{2327-1671 }},
  keywords     = {{Noise measurement, Fuzzy sets, Noise, Sensor fusion, Logic gates, Feature extraction, Fuses}},
  location     = {{Elba}},
  publisher    = {{14-16 June, 2010, Elba Island (Tuscany), Italy}},
  title        = {{{Sensor Fusion by Two-Layer Conflict Solving}}},
  doi          = {{10.1109/CIP.2010.5604094}},
  year         = {{2010}},
}