Eulalia Szmidt
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences
Dirección de correo verificada de ibspan.waw.pl
TítuloCitado porAño
Distances between intuitionistic fuzzy sets
E Szmidt, J Kacprzyk
Fuzzy sets and systems 114 (3), 505-518, 2000
13162000
Entropy for intuitionistic fuzzy sets
E Szmidt, J Kacprzyk
Fuzzy sets and systems 118 (3), 467-477, 2001
8382001
Using intuitionistic fuzzy sets in group decision making
E Szmidt, J Kacprzyk
Control and cybernetics 31, 1055-1057, 2002
2902002
A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning
E Szmidt, J Kacprzyk
International conference on artificial intelligence and soft computing, 388-393, 2004
2622004
Intuitionistic fuzzy sets in group decision making
E Szmidt, J Kacprzyk
Notes on IFS 2 (1), 1996
253*1996
A consensus‐reaching process under intuitionistic fuzzy preference relations
E Szmidt, J Kacprzyk
International Journal of Intelligent Systems 18 (7), 837-852, 2003
2402003
A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making
E Szmidt, J Kacprzyk
International Conference on Modeling Decisions for Artificial Intelligence …, 2005
1552005
Intuitionistic fuzzy sets in some medical applications
E Szmidt, J Kacprzyk
International Conference on Computational Intelligence, 148-151, 2001
1502001
On intuitionistic fuzzy pairs
K Atanassov, E Szmidt, J Kacprzyk
Notes on Intuitionistic Fuzzy Sets 19 (3), 1-13, 2013
1412013
On measuring distances between intuitionistic fuzzy sets
E Szmidt, J Kacprzyk
Notes on IFS 3 (4), 1997
1351997
Group decision making under intuitionistic fuzzy preference relations
E Szmidt, J Kacprzyk
IPMU: information processing and management of uncertainty in knowledge …, 1998
1261998
Distances and similarities in intuitionistic fuzzy sets
E Szmidt
Springer International Publishing, 2014
1252014
How to measure the amount of knowledge conveyed by Atanassov’s intuitionistic fuzzy sets
E Szmidt, J Kacprzyk, P Bujnowski
Information Sciences 257, 276-285, 2014
1022014
An intuitionistic fuzzy set based approach to intelligent data analysis: an application to medical diagnosis
E Szmidt, J Kacprzyk
Recent advances in intelligent paradigms and applications, 57-70, 2003
962003
Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences
E Szmidt, J Kacprzyk
Proceedings First International IEEE Symposium Intelligent Systems 1, 166-170, 2002
862002
Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives
E Szmidt, J Kacprzyk
Recent advances in decision making, 7-19, 2009
842009
Distances between intuitionistic fuzzy sets: straightforward approaches may not work
E Szmidt, J Kacprzyk
2006 3rd International IEEE Conference Intelligent Systems, 716-721, 2006
812006
Algorithms for estimating missing elements of incomplete intuitionistic preference relations
Z Xu, X Cai, E Szmidt
International Journal of Intelligent Systems 26 (9), 787-813, 2011
802011
Intuitionistic fuzzy sets in intelligent data analysis for medical diagnosis
E Szmidt, J Kacprzyk
International conference on computational science, 263-271, 2001
772001
An application of intuitionistic fuzzy set similarity measures to a multi-criteria decision making problem
E Szmidt, J Kacprzyk
International Conference on Artificial Intelligence and Soft Computing, 314-323, 2006
742006
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Artículos 1–20