Sensor Fusion by Two-Layer Conflict Solving Lohweg, Volker Mönks, Uwe Noise measurement Fuzzy sets Noise Sensor fusion Logic gates Feature extraction Fuses 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. 14-16 June, 2010, Elba Island (Tuscany), Italy 2010 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://www.th-owl.de/elsa/record/2086 Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: <i>The 2nd International Workshop on Cognitive Information Processing</i>. 14-16 June, 2010, Elba Island (Tuscany), Italy; 2010. doi:<a href="https://doi.org/10.1109/CIP.2010.5604094">10.1109/CIP.2010.5604094</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1109/CIP.2010.5604094 info:eu-repo/semantics/altIdentifier/issn/2327-1671 info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-6457-9 info:eu-repo/semantics/closedAccess