-
1
-
-
0035341151
-
An expert system for multi-criteria decision making using Dempster Shafer theory
-
M. Beynon, D. Cosker, and D. Marshall An expert system for multi-criteria decision making using Dempster Shafer theory Expert Systems with Applications 20 2001 357 367
-
(2001)
Expert Systems with Applications
, vol.20
, pp. 357-367
-
-
Beynon, M.1
Cosker, D.2
Marshall, D.3
-
3
-
-
8344275326
-
Distribution of contradictive belief masses in combination of belief functions
-
M. Daniel Distribution of contradictive belief masses in combination of belief functions B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh, Information, uncertainty and fusion 2000 Kluwer Academic Press Boston 431 446
-
(2000)
Information, Uncertainty and Fusion
, pp. 431-446
-
-
Daniel, M.1
-
4
-
-
26944442945
-
Associativity in combination of belief functions: A derivation of minC combination
-
M. Daniel Associativity in combination of belief functions: A derivation of minC combination Soft Computing 7 2003 288 296
-
(2003)
Soft Computing
, vol.7
, pp. 288-296
-
-
Daniel, M.1
-
6
-
-
37149055072
-
Conjunctive and disjunctive combination of belief functions induced by non distinct bodies of evidence
-
T. Denoeux Conjunctive and disjunctive combination of belief functions induced by non distinct bodies of evidence Artificial Intelligence 172 2-3 2008 234 264
-
(2008)
Artificial Intelligence
, vol.172
, Issue.23
, pp. 234-264
-
-
Denoeux, T.1
-
7
-
-
84990553605
-
Representation and combination of uncertainty with belief functions and possibility measures
-
D. Dubios, and H. Prade Representation and combination of uncertainty with belief functions and possibility measures Computational Intelligence 4 1988 244 264
-
(1988)
Computational Intelligence
, vol.4
, pp. 244-264
-
-
Dubios, D.1
Prade, H.2
-
8
-
-
0030871099
-
The modified Dempster-Shafer approach to classification
-
D. Fixsen, and R.P.S. Mahler The modified Dempster-Shafer approach to classification IEEE-SMC A27 1997 96 104
-
(1997)
IEEE-SMC
, vol.27
, pp. 96-104
-
-
Fixsen, D.1
Mahler, R.P.S.2
-
9
-
-
0036783876
-
The consensus operator for combining beliefs
-
A. Josang The consensus operator for combining beliefs Artificial Intelligence 141 1-2 2002 157 170
-
(2002)
Artificial Intelligence
, vol.141
, Issue.12
, pp. 157-170
-
-
Josang, A.1
-
14
-
-
33745854779
-
Analyzing the degree of conflict among belief functions
-
W. Liu Analyzing the degree of conflict among belief functions Artificial Intelligence 170 2006 909 924
-
(2006)
Artificial Intelligence
, vol.170
, pp. 909-924
-
-
Liu, W.1
-
15
-
-
0029735305
-
Combining ambiguous evidence with respect to ambiguous a priori knowledge, i: Boolean logic
-
R.P.S. Mahler Combining ambiguous evidence with respect to ambiguous a priori knowledge, i: Boolean logic IEEE-SMC A26 1996 27 41
-
(1996)
IEEE-SMC
, vol.26
, pp. 27-41
-
-
Mahler, R.P.S.1
-
17
-
-
0033728781
-
Combining belief functions when evidence conflicts
-
C. Murphy Combining belief functions when evidence conflicts Decision Support Systems 29 2000 1 9
-
(2000)
Decision Support Systems
, vol.29
, pp. 1-9
-
-
Murphy, C.1
-
20
-
-
9644266682
-
Decision making in the TBM: The necessity of the pignistic transformation
-
P. Smets Decision making in the TBM: The necessity of the pignistic transformation International Journal of Approximate Reasoning 38 2004 133 147
-
(2004)
International Journal of Approximate Reasoning
, vol.38
, pp. 133-147
-
-
Smets, P.1
-
21
-
-
34249314710
-
Analyzing the combination of conflicting belief functions
-
P. Smets Analyzing the combination of conflicting belief functions Information Fusion 8 2007 387 412
-
(2007)
Information Fusion
, vol.8
, pp. 387-412
-
-
Smets, P.1
-
22
-
-
0028406490
-
The transferable belief model
-
P. Smets, and K. Kennes The transferable belief model Artificial Intelligence 66 2 1994 191 234
-
(1994)
Artificial Intelligence
, vol.66
, Issue.2
, pp. 191-234
-
-
Smets, P.1
Kennes, K.2
-
23
-
-
80054987262
-
The system probability information content (PIC) relationship to contributing components, combining independent multi-sources beliefs, hybrid and pedigree pignistic probabilities
-
Annapolis, MD, USA, 2, Fusion'02
-
Sudano, J. J. (2002). The system probability information content (PIC) relationship to contributing components, combining independent multi-sources beliefs, hybrid and pedigree pignistic probabilities. In Proceedings of the fifth international conference on information fusion, Annapolis, MD, USA, 2, Fusion'02 (pp. 1277-1283).
-
(2002)
Proceedings of the Fifth International Conference on Information Fusion
, pp. 1277-1283
-
-
Sudano, J.J.1
-
25
-
-
3042831434
-
Non-additive measures by interval probability functions
-
H. Tanaka, K. Sugihara, and Y. Maeda Non-additive measures by interval probability functions Information Sciences 164 1-4 2004 209 227
-
(2004)
Information Sciences
, vol.164
, Issue.14
, pp. 209-227
-
-
Tanaka, H.1
Sugihara, K.2
Maeda, Y.3
-
26
-
-
33746786525
-
On the normalization of interval and fuzzy weights
-
Y.M. Wang, and T.M.S. Elhag On the normalization of interval and fuzzy weights Fuzzy Sets and Systems 157 2006 2456 2471
-
(2006)
Fuzzy Sets and Systems
, vol.157
, pp. 2456-2471
-
-
Wang, Y.M.1
Elhag, T.M.S.2
-
27
-
-
33749327588
-
The evidential reasoning approach for multiple attribute decision analysis using interval degrees
-
Y.M. Wang, J.B. Yang, D.L. Xu, and K.S. Chin The evidential reasoning approach for multiple attribute decision analysis using interval degrees European Journal of Operational Research 175 2006 35 66
-
(2006)
European Journal of Operational Research
, vol.175
, pp. 35-66
-
-
Wang, Y.M.1
Yang, J.B.2
Xu, D.L.3
Chin, K.S.4
-
28
-
-
33845456689
-
On the combination and normalization of interval-valued belief structures
-
Y.M. Wang, J.B. Yang, D.L. Xu, and K.S. Chin On the combination and normalization of interval-valued belief structures Information Sciences 177 2007 1230 1247
-
(2007)
Information Sciences
, vol.177
, pp. 1230-1247
-
-
Wang, Y.M.1
Yang, J.B.2
Xu, D.L.3
Chin, K.S.4
-
29
-
-
60249086458
-
Consumer preference prediction by using a hybrid evidential reasoning and belief rule-based methodology
-
Y.M. Wang, J.B. Yang, D.L. Xu, and K.S. Chin Consumer preference prediction by using a hybrid evidential reasoning and belief rule-based methodology Expert Systems with Applications 36 2009 8421 8430
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 8421-8430
-
-
Wang, Y.M.1
Yang, J.B.2
Xu, D.L.3
Chin, K.S.4
-
30
-
-
0023311178
-
On the Dempster-Shafer framework and new combination rules
-
R.R. Yager On the Dempster-Shafer framework and new combination rules Information Sciences 41 1987 93 138
-
(1987)
Information Sciences
, vol.41
, pp. 93-138
-
-
Yager, R.R.1
-
31
-
-
0035304347
-
Dempster-Shafer belief structures with interval valued focal weights
-
R.R. Yager Dempster-Shafer belief structures with interval valued focal weights International Journal of Intelligent Systems 16 2001 497 512
-
(2001)
International Journal of Intelligent Systems
, vol.16
, pp. 497-512
-
-
Yager, R.R.1
-
33
-
-
60249099437
-
Constructing confidence belief functions from one expert
-
S.L. Yang, and C. Fu Constructing confidence belief functions from one expert Expert Systems with Applications 36 4 2009 8537 8548
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.4
, pp. 8537-8548
-
-
Yang, S.L.1
Fu, C.2
-
34
-
-
0003146466
-
A mathematical theory of evidence (book review)
-
L. Zadeh A mathematical theory of evidence (book review) AI Magazine 5 3 1984 81 83
-
(1984)
AI Magazine
, vol.5
, Issue.3
, pp. 81-83
-
-
Zadeh, L.1
-
35
-
-
0022733771
-
A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination
-
L. Zadeh A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination AI Magazine 7 1986 85 90
-
(1986)
AI Magazine
, vol.7
, pp. 85-90
-
-
Zadeh, L.1
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