-
2
-
-
0036570826
-
Morphogenic neural networks encode abstract rules by data
-
Resconi G., and Van Der Wal A.J. Morphogenic neural networks encode abstract rules by data. Information Sciences 142 (2002) 249-273
-
(2002)
Information Sciences
, vol.142
, pp. 249-273
-
-
Resconi, G.1
Van Der Wal, A.J.2
-
3
-
-
0035061158
-
Canonical forms of fuzzy truthoods by meta-theory based upon model logic
-
Resconi G., and Turksen I.B. Canonical forms of fuzzy truthoods by meta-theory based upon model logic. Information Sciences 131 (2001) 157-194
-
(2001)
Information Sciences
, vol.131
, pp. 157-194
-
-
Resconi, G.1
Turksen, I.B.2
-
7
-
-
0005348257
-
On the integration of uncertainty theories
-
Resconi G., Klir G.J., Clair U.S., and Harmanec D. On the integration of uncertainty theories. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 1 1 (1993) 1-18
-
(1993)
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
, vol.1
, Issue.1
, pp. 1-18
-
-
Resconi, G.1
Klir, G.J.2
Clair, U.S.3
Harmanec, D.4
-
8
-
-
0005268970
-
Interpretations of various uncertainty theories using models of modal logic: A summary
-
Resconi G., Klir G.J., Harmanec D., and Clair U.S. Interpretations of various uncertainty theories using models of modal logic: A summary. Fuzzy Sets and Systems 80 (1996) 7-14
-
(1996)
Fuzzy Sets and Systems
, vol.80
, pp. 7-14
-
-
Resconi, G.1
Klir, G.J.2
Harmanec, D.3
Clair, U.S.4
-
9
-
-
33646062963
-
-
G. Resconi, A.J. van der Wal, Single neuron as a quantum computermorphogenic neuron, in: Intelligent techniques and Soft computing in Nuclear Science and Engineering, Proceeding of the 4th International FLINS conference Bruges, Belgium, World Scientific, Singapore, 2000, pp. 28-30.
-
-
-
-
11
-
-
0001397001
-
The three senmantics of fuzzy sets
-
Dubois D., and Prade H. The three senmantics of fuzzy sets. Fuzzy Sets and Systems 90 (1997) 141-150
-
(1997)
Fuzzy Sets and Systems
, vol.90
, pp. 141-150
-
-
Dubois, D.1
Prade, H.2
-
13
-
-
84956984669
-
A context model for constructing membership functions of fuzzy concepts based on modal logic
-
Foundations of information and knowledge systems. Eiter T., and Schewe K.D. (Eds), Springer-Verlag, Berlin Heidelberg
-
Huynh V.N., Nakamorib Y., Hob T.B., and Resconi G. A context model for constructing membership functions of fuzzy concepts based on modal logic. In: Eiter T., and Schewe K.D. (Eds). Foundations of information and knowledge systems. LNCS vol. 2284 (2002), Springer-Verlag, Berlin Heidelberg 93-104
-
(2002)
LNCS
, vol.2284
, pp. 93-104
-
-
Huynh, V.N.1
Nakamorib, Y.2
Hob, T.B.3
Resconi, G.4
-
15
-
-
0033889022
-
α-RST: A generalization of rough set theory
-
Quafafou M. α-RST: A generalization of rough set theory. Information Sciences 124 (2000) 301-316
-
(2000)
Information Sciences
, vol.124
, pp. 301-316
-
-
Quafafou, M.1
-
16
-
-
25144460892
-
Obtaining decision rules and combining evidence based on modal logic
-
(in Chinese)
-
Pei Z., and Qin K. Obtaining decision rules and combining evidence based on modal logic. Progress in Natural Science 14 5 (2004) 501-508 (in Chinese)
-
(2004)
Progress in Natural Science
, vol.14
, Issue.5
, pp. 501-508
-
-
Pei, Z.1
Qin, K.2
-
20
-
-
0000673928
-
Analysis of uncertain information in the framwork of variable precision rough sets
-
Ziarko W. Analysis of uncertain information in the framwork of variable precision rough sets. Foundations of Computing and Decision Science 18 3/4 (1993) 381-396
-
(1993)
Foundations of Computing and Decision Science
, vol.18
, Issue.3-4
, pp. 381-396
-
-
Ziarko, W.1
-
22
-
-
33646071308
-
-
J.S. Deogun, R.H. Sever, Explointing upper approximation in the rough set methodology, in: International Conference on Knowledge Discovery and Data Mining, 1995, pp. 69-74.
-
-
-
-
23
-
-
33646059254
-
-
M. Hadjimichael, S.K.K. Wong, Fuzzy representation in rough set approximations, in: International Workshop on Rough Sets and Knowledge Discovery in Databases, 1993, pp. 349-356.
-
-
-
-
24
-
-
0342603603
-
Rough sets: Probabilistic versus deterministic
-
Gaines B.R., and Boose J.H. (Eds), Academic Press, New York
-
Pawlak Z., Wong S.K.M., and Ziarko W. Rough sets: Probabilistic versus deterministic. In: Gaines B.R., and Boose J.H. (Eds). Machine learning and uncertain reasoning (1990), Academic Press, New York 227-241
-
(1990)
Machine learning and uncertain reasoning
, pp. 227-241
-
-
Pawlak, Z.1
Wong, S.K.M.2
Ziarko, W.3
-
25
-
-
0342757523
-
An extension of classical functional dependency: Dynamic fuzzy functional dependency
-
Yahia S.B., Ounalli H., and Jaoua A. An extension of classical functional dependency: Dynamic fuzzy functional dependency. Information Sciences 119 (1999) 219-234
-
(1999)
Information Sciences
, vol.119
, pp. 219-234
-
-
Yahia, S.B.1
Ounalli, H.2
Jaoua, A.3
-
27
-
-
0032641460
-
On the logic foundation of fuzzy reasoning
-
Wang G.J. On the logic foundation of fuzzy reasoning. Information Sciences 117 (1999) 47-88
-
(1999)
Information Sciences
, vol.117
, pp. 47-88
-
-
Wang, G.J.1
-
28
-
-
38249009832
-
Some methods of reasoning for fuzzy conditional propositions
-
Reddy P.V.S., and Babu M.S. Some methods of reasoning for fuzzy conditional propositions. Fuzzy Sets and Systems 52 (1992) 229-250
-
(1992)
Fuzzy Sets and Systems
, vol.52
, pp. 229-250
-
-
Reddy, P.V.S.1
Babu, M.S.2
-
29
-
-
0000783809
-
A new class of fuzzy implications: Axioms of fuzzy implication revisited
-
Turksen I.B., Kreinovich V., and Yager R.R. A new class of fuzzy implications: Axioms of fuzzy implication revisited. Fuzzy Sets and Systems 100 (1998) 267-272
-
(1998)
Fuzzy Sets and Systems
, vol.100
, pp. 267-272
-
-
Turksen, I.B.1
Kreinovich, V.2
Yager, R.R.3
-
30
-
-
0029358850
-
Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory
-
Yager R.R. Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory. IEEE Transactions on Systems, Man, and Cybernetics 25 8 (1995) 1221-1230
-
(1995)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.25
, Issue.8
, pp. 1221-1230
-
-
Yager, R.R.1
-
31
-
-
0023311178
-
On the Dempster-Shafer framework and new combination rules
-
Yager R.R. On the Dempster-Shafer framework and new combination rules. Information Sciences 41 (1987) 93-137
-
(1987)
Information Sciences
, vol.41
, pp. 93-137
-
-
Yager, R.R.1
-
33
-
-
0032048262
-
Dempster-Shafer theory for sensor fusion in autonomous mobile robots
-
Murphy R.R. Dempster-Shafer theory for sensor fusion in autonomous mobile robots. IEEE Transactions on Robotics and Automation 14 2 (1998) 197-206
-
(1998)
IEEE Transactions on Robotics and Automation
, vol.14
, Issue.2
, pp. 197-206
-
-
Murphy, R.R.1
-
34
-
-
0030871099
-
The modified Dempster-Shafer approach to classification
-
Fixsen D., and Mahler R.P.S. The modified Dempster-Shafer approach to classification. IEEE Transactions on Systems, Man, and Cybernetics--Part A: Systems and Humans 27 1 (1997) 96-104
-
(1997)
IEEE Transactions on Systems, Man, and Cybernetics--Part A: Systems and Humans
, vol.27
, Issue.1
, pp. 96-104
-
-
Fixsen, D.1
Mahler, R.P.S.2
-
35
-
-
0001906541
-
Random sets and fuzzy interval analysis
-
Dubois D., and Prade H. Random sets and fuzzy interval analysis. Fuzzy Sets and Systems 42 (1991) 87-101
-
(1991)
Fuzzy Sets and Systems
, vol.42
, pp. 87-101
-
-
Dubois, D.1
Prade, H.2
-
36
-
-
0031999121
-
Speed-up of the MC method by using a physical model of the Dempster-Shafer theory
-
Resconi G., Van Der Wal A.J., and Ruan D. Speed-up of the MC method by using a physical model of the Dempster-Shafer theory. International Journal of Intelligent Systems, Special Issue on FLINS'96 13 2/3 (1998) 221-242
-
(1998)
International Journal of Intelligent Systems, Special Issue on FLINS'96
, vol.13
, Issue.2-3
, pp. 221-242
-
-
Resconi, G.1
Van Der Wal, A.J.2
Ruan, D.3
-
37
-
-
0026418014
-
A new approach to inference in approximate reasoning
-
Nafarieh A., and Keller J.M. A new approach to inference in approximate reasoning. Fuzzy Sets and Systems 41 (1991) 17-37
-
(1991)
Fuzzy Sets and Systems
, vol.41
, pp. 17-37
-
-
Nafarieh, A.1
Keller, J.M.2
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