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R.A. Hummel, M.S. Landy, "A Statistical Viewpoint on the Theory of Evidence," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 2, pp. 235247, March, 1988.  
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@article{ 10.1109/34.3885, author = {R.A. Hummel and M.S. Landy}, title = {A Statistical Viewpoint on the Theory of Evidence}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {10}, number = {2}, issn = {01628828}, year = {1988}, pages = {235247}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.3885}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
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TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  A Statistical Viewpoint on the Theory of Evidence IS  2 SN  01628828 SP235 EP247 EPD  235247 A1  R.A. Hummel, A1  M.S. Landy, PY  1988 KW  evidence theory; Bayesian rules; expert systems; artificial intelligence; DempsterShafer theory; combination formulas; statistics; artificial intelligence; Bayes methods; expert systems; statistical analysis VL  10 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
The authors provide a perspective and interpretation regarding the DempsterShafer theory of evidence that regards the combination formulas as statistics of the opinions of experts. This is done by introducing spaces with binary operations that are simpler to interpret or simpler to implement than the standard combination formula, and showing that these spaces can be mapped homomorphically onto the DempsterShafer theoryofevidence space. The experts in the space of opinionsofexperts combine information in a Bayesian fashion. Alternative spaces for the combination of evidence suggested by this viewpoint are presented.
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