---
res:
  bibo_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.@eng
  bibo_authorlist:
  - 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
  - foaf_Person:
      foaf_givenName: Uwe
      foaf_name: Mönks, Uwe
      foaf_surname: Mönks
      foaf_workInfoHomepage: http://www.librecat.org/personId=1825
  bibo_doi: 10.1109/CIP.2010.5604094
  dct_date: 2010^xs_gYear
  dct_isPartOf:
  - 'http://id.crossref.org/issn/2327-1671 '
  - http://id.crossref.org/issn/978-1-4244-6457-9
  dct_language: eng
  dct_publisher: 14-16 June, 2010, Elba Island (Tuscany), Italy@
  dct_subject:
  - Noise measurement
  - Fuzzy sets
  - Noise
  - Sensor fusion
  - Logic gates
  - Feature extraction
  - Fuses
  dct_title: Sensor Fusion by Two-Layer Conflict Solving@
...