LU Shen-yi, SHUI Ai-she. New evidence fusion method based on weighted mean value model[J]. 2016, 35(7): 55-57+61. DOI: 10.13873/J.1000-9787(2016)07-0055-03.
Aiming at problem that evidence conflicting can’t be well solved by D-S evidence theory
a new evidence fusion method is proposed based on combination of Murphy average fusion method and weights of evidence method. This method introduces judgment of obvious deviation evidence into fusion process
weights of evidence are distinguish quantization
and mean value model for basic probability assignments of weighting is established. Simulation results show that the method can distinguish the importance of the evidence efficiently
accuracy of evidence fusion and convergence speed are also improved
Spark plug fault recognition based on sensor fusion and classifier combination using Dempster–Shafer evidence theory [J] . Ashkan Moosavian,Meghdad Khazaee,Gholamhassan Najafi,Maurice Kettner,Rizalman Mamat. Applied Acoustics . 2015
A novel fuzzy soft set approach in decision making based on grey relational analysis and Dempster–Shafer theory of evidence [J] . Hongxiang Tang. Applied Soft Computing . 2015
Evidence theory for high dynamic range reconstruction with linear digital cameras [J] . Benjamin Bringier,Alexandre Bony,Majdi Khoudeir. Computer Vision and Image Understanding . 2014
Attribute reduction based on evidence theory in incomplete decision systems [J] . Wei-Zhi Wu. Information Sciences . 2007 (5)
Are alternatives to Dempster’s rule of combination real alternatives? [J] . Rolf Haenni. Information Fusion . 2002 (3)
A new distance between two bodies of evidence [J] . Anne-Laure Jousselme,Dominic Grenier,éloi Bossé. Information Fusion . 2001 (2)
Combining belief functions when evidence conflicts [J] . Catherine K. Murphy. Decision Support Systems . 2000 (1)