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Volumn 6, Issue 1, 2003, Pages 41-46

Use of Dempster-Shafer theory to combine classifiers which use different class boundaries

Author keywords

Bayesian networks; Classifier combination; Dempster Shafer theory; Expert rules; Fuzzy logic

Indexed keywords


EID: 0038809899     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-002-0176-4     Document Type: Article
Times cited : (20)

References (19)
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  • 4
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    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu L, Krzyzak A, Suen C (1992) Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man and Cybernetics 22(3):418-435
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    • Xu, L.1    Krzyzak, A.2    Suen, C.3
  • 5
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    • A framework for probabilistic combination of multiple classifiers at an abstract level
    • Kang H, Kim K, Kim JH (1997) A framework for probabilistic combination of multiple classifiers at an abstract level. Engineering Applications of Artificial Intelligence 10(4):379-385
    • (1997) Engineering Applications of Artificial Intelligence , vol.10 , Issue.4 , pp. 379-385
    • Kang, H.1    Kim, K.2    Kim, J.H.3
  • 7
    • 0027961797 scopus 로고
    • Combining the result of several neural network classifiers
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    • Rogova, G.1
  • 9
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    • Averaging regularized estimation
    • Taniguchi M, Tresp V (1997) Averaging regularized estimation. Neural Computation 9:1163-1178
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    • Taniguchi, M.1    Tresp, V.2
  • 11
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    • An application of owa operators to the aggregation of multiple classification decisions
    • Yager R, Kacprzyk J (Eds), Kluwer
    • Kuncheva L (1997) An application of owa operators to the aggregation of multiple classification decisions. In: Yager R, Kacprzyk J (Eds), The ordered weighted averaging operators. Theory and applications. Kluwer
    • (1997) The Ordered Weighted Averaging Operators. Theory and Applications
    • Kuncheva, L.1
  • 15
    • 0035255113 scopus 로고    scopus 로고
    • Generalised fuzzy aggregation in estimating the risk of desertification of a burned forest
    • Sasikala KR, Petrou M (2001) Generalised fuzzy aggregation in estimating the risk of desertification of a burned forest. Fuzzy Sets and Systems 118(1):121-137
    • (2001) Fuzzy Sets and Systems , vol.118 , Issue.1 , pp. 121-137
    • Sasikala, K.R.1    Petrou, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.