A new method to determine basic probability assignment from training data

Knowledge-Based Systems

Volumn 46, Issue , 2013, Pages 69-80

  Xu, Peida ^a   Deng, Yong ^a,b,c   Su, Xiaoyan ^a   Mahadevan, Sankaran ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SOUTHWEST UNIVERSITY   (China)

^c VANDERBILT UNIVERSITY   (United States)

Author keywords

Basic probability assignment; Classification; Dempster Shafer evidence theory; Information fusion; Normal distribution

Indexed keywords

BASIC PROBABILITY ASSIGNMENT; CLASSIFICATION ACCURACY; DEMPSTER SHAFER EVIDENCE THEORY; EVIDENCE THEORIES; INFORMATION FUSION SYSTEMS; NORMAL DISTRIBUTION MODEL; PATTERN CLASSIFICATION PROBLEMS; UNCERTAIN REASONING;

INFORMATION FUSION; KNOWLEDGE REPRESENTATION; NORMAL DISTRIBUTION; PROBABILITY;

CLASSIFICATION (OF INFORMATION);

EID: 84877584476     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.03.005     Document Type: Article

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