[
Atanassov, K. (1983) Intuitionistic Fuzzy Sets. VII ITKR Session. Sofia (Centr. Sci.-Techn. Libr. of Bulg. Acad. of Sci., 1697/84) (in Bulgarian).
]Search in Google Scholar
[
Atanassov, K. T. (1999) Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Verlag.10.1007/978-3-7908-1870-3
]Search in Google Scholar
[
Atanassov, K.T. (2012) On Intuitionistic Fuzzy Sets Theory. Springer.10.1007/978-3-642-29127-2
]Search in Google Scholar
[
Atanassova, V. (2004) Strategies for Decision Making in the Conditions of Intuitionistic Fuzziness. Int. Conf. 8th Fuzzy Days, Dortmund, Germany, 263–269.
]Search in Google Scholar
[
Bujnowski, P., Szmidt, E. and Kacprzyk, J. (2014) Intuitionistic Fuzzy Decision Trees - a new Approach. In: L. Rutkowski et al., eds.: Artificial Intelligence and Soft Computing, Part I. Springer, Switzerland, 181–192.10.1007/978-3-319-07173-2_17
]Search in Google Scholar
[
Bustince, H., Mohedano, V., Barrenechea, E., Pagola, M. (2006) An algorithm for calculating the threshold of an image representing uncertainty through A-IFSs. IPMU’2006, 2383–2390.
]Search in Google Scholar
[
Cross, V. and Sudkamp, T. (2002) Similarity and Compatibility in Fuzzy Set Theory. Physica-Verlag.10.1007/978-3-7908-1793-5
]Search in Google Scholar
[
Grünbaum, B. (1967) Convex Polytopes. Wiley-Interscience, New York.
]Search in Google Scholar
[
Pal, N.R. and Pal, S.K. (1991) Entropy: a new definition and its applications. IEEE Trans. on Systems, Man, and Cybernetics, 21, 5, 1260–1270.10.1109/21.120079
]Search in Google Scholar
[
Reeves, J. (2020) The Science and Religion Dialogue as Natural Philosophy. Metanexus, https://www.metanexus.net/science-and-religion-dialogue-naturalphilosophy/.
]Search in Google Scholar
[
Roeva, O. and Michalikova, A. (2013) Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters. In: Notes on IFSs, 19 (2), 71–76.
]Search in Google Scholar
[
Szmidt, E. (2014) Distances and Similarities in Intuitionistic Fuzzy Sets. Springer.10.1007/978-3-319-01640-5
]Search in Google Scholar
[
Szmidt, E. and Baldwin, J. (2006) Intuitionistic Fuzzy Set Functions, Mass Assignment Theory, Possibility Theory and Histograms. 2006 IEEEWorld Congress on Computational Intelligence, 237–243.10.1109/FUZZY.2006.1681691
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (1997) On measuring distances between intuitionistic fuzzy sets. Notes on IFS, 3(4), 1–13.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2000) Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems, 114(3), 505–518.10.1016/S0165-0114(98)00244-9
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2001) Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 118 (3), 467–477.10.1016/S0165-0114(98)00402-3
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2004a) Similarity of intuitionistic fuzzy sets and the Jaccard coefficient. IPMU 2004, 1405–1412.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2004b) A Concept of Similarity for Intuitionistic Fuzzy Sets and its use in Group Decision Making. 2004 IEEE Conf. on Fuzzy Systems, Budapest, 1129–1134.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2005) Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning In: S. K. Halgamuge and L. Wang, eds., Computational Intelligence for Modelling and Prediction, Springer, 101–116.10.1007/10966518_8
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2006) Distances Between Intuitionistic Fuzzy Sets: Straightforward Approaches may not work. IEEE IS’06, 716–721.10.1109/IS.2006.348507
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2007a) Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets. Applications of Fuzzy Sets Theory. LNAI 4578, Springer-Verlag, 291–297.10.1007/978-3-540-73400-0_36
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2007b) A New SimilarityMeasure for Intuitionistic Fuzzy Sets: Straightforward Approaches may not work. 2007 IEEE Conf. on Fuzzy Systems, 481–486.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2008a) Ranking alternatives expressed via intuitionistic fuzzy sets. 12th International Conference IPMU 2008, 1604–1611.10.1142/9789812799470_0043
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2008b) Using intuitionistic fuzzy sets in text categorization In: L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh and J. M. Zurada (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. Lecture Notes in Computer Science, 5097, Springer, Berlin, Heidelberg, 351–362.10.1007/978-3-540-69731-2_35
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2009a) Amethod for ranking alternatives expressed via Atanassov’s intuitionistic fuzzy sets. In: K. T. Atanassov, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt and S. Zadrozny (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. Academic Publishing House EXIT, Warsaw 2009. Series: Challenging Problems of Science - Computer Science, 161–173.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2008c) A new approach to ranking alternatives expressed via intuitionistic fuzzy sets. In: D. Ruan et al. (Eds.) Computational Intelligence in Decision and Control. World Scientific, 265–270.10.1142/9789812799470_0043
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2009b) Ranking of Intuitionistic Fuzzy Alternatives in a Multi-criteria Decision Making Problem. NAFIPS 2009, Cincinnati, USA, IEEE, ISBN: 978-1-4244-4577-6.10.1109/NAFIPS.2009.5156417
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2009c) Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives. In: E. Rakus- Andersson, R. Yager, N. Ichalkaranje and L. C. Jain (Eds.) Recent Advances in decision Making, SCI 222. Springer-Verlag, 7–19.10.1007/978-3-642-02187-9_2
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2010a) Correlation between intuitionistic fuzzy sets. In: E. Hullermeier, R. Kruse and F. Hoffmann, eds., LNAI 6178 (Computational Intelligence for Knowledge-Based Systems Design), 169–177.10.1007/978-3-642-14049-5_18
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2010b) On an Enhanced Method for a More Meaningful Ranking of Intuitionistic Fuzzy Alternatives. Lecture Notes in Artificial Intelligence, 6113, Springer, 232–239.10.1007/978-3-642-13208-7_30
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2010c) The Spearman rank correlation coefficient between intuitionistic fuzzy sets. In: Proc. 2010 IEEE Int. Conf. on Intelligent Systems IEEE’IS 2010, London, 276–280.
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2011a) Intuitionistic fuzzy sets – Two and three term representations in the context of a Hausdorff distance. Acta Universitatis Matthiae Belii, Series Mathematics, 19, 19, 53–62. https://actamath.savbb.sk/pdf/acta1908.pdf
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2011b) The Kendall Rank Correlation between Intuitionistic Fuzzy Sets. In: Proc.: World Conference on Soft Computing, San Francisco, CA, USA, 23/05/2011-26/05/2011.10.2991/eusflat.2011.85
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2011c) The Spearman and Kendall rank correlation coefficients between intuitionistic fuzzy sets. In: Proc. 7th conf. European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, Antantic Press, 521–528.10.2991/eusflat.2011.85
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2011a) Pearson’s coefficient between intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, 17(2), 25–34.10.1007/978-3-642-23713-3_3
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2011b) Pearson’s Correlation Coefficient between Intuitionistic Fuzzy Sets: an Extended Theoretical and Numerical Analysis. In: K. T. Atanassov et al. (Eds.) Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warsaw, 223–236.10.1109/FUZZ-IEEE.2012.6250832
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2012a) A New Approach to Principal Component Analysis for Intuitionistic Fuzzy Data Sets. In: S. Greco et al. (Eds.), IPMU 2012, Part II, CCIS 298, 529–538, Springer-Verlag, Berlin Heidelberg.10.1007/978-3-642-31715-6_56
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2012b) On an Enhanced Method for a More Meaningful Pearson’s Correlation Coefficient between Intuitionistic Fuzzy Sets. ICAISC (1), 334–341.10.1007/978-3-642-29347-4_39
]Search in Google Scholar
[
Szmidt, E. and Kacprzyk, J. (2015) Two and three term representations of intuitionistic fuzzy sets: Some conceptual and analytic aspects. IEEE Int. Conf. on Fuzzy Systems FUZZ-IEEE 2015, 1–8.10.1109/FUZZ-IEEE.2015.7338003
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2012a) Correlation between Intuitionistic Fuzzy Sets: Some Conceptual and Numerical Extensions. WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 480–486.10.1109/FUZZ-IEEE.2012.6250832
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2012b) Advances in Principal Component Analysis for Intuitionistic Fuzzy Data Sets. 2012 IEEE 6th International Conference “Intelligent Systems”, 194–199.
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2020) Attribute Selection for Sets of Data Expressed by Intuitionistic Fuzzy Sets. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1–7.10.1109/FUZZ48607.2020.9177530
]Search in Google Scholar
[
Szmidt, E., Kacprzyk, J. and Bujnowski, P. (2021) Three term attribute description of Atanassov’s Intuitionistic Fuzzy Sets as a basis of attribute selection. 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1–6.10.1109/FUZZ45933.2021.9494599
]Search in Google Scholar
[
Szmidt, E. and Kukier, M. (2006) Classification of Imbalanced and Overlapping Classes using Intuitionistic Fuzzy Sets. IEEE IS’06, London, 722–727.10.1109/IS.2006.348508
]Search in Google Scholar
[
Szmidt, E. and Kukier, M. (2008a) A New Approach to Classification of Imbalanced Classes via Atanassov’s Intuitionistic Fuzzy Sets. In: Hsiao-Fan Wang (Ed.), Intelligent Data Analysis : Developing New Methodologies Through Pattern Discovery and Recovery. Idea Group, 85–101.10.4018/978-1-59904-982-3.ch005
]Search in Google Scholar
[
Szmidt, E. and Kukier, M. (2008b) Atanassov’s intuitionistic fuzzy sets in classification of imbalanced and overlapping classes. In: P. Chountas, I. Petrounias, J. Kacprzyk (Eds.): Intelligent Techniques and Tools for Novel System Architectures. Springer, Berlin Heidelberg, 455–471.10.1007/978-3-540-77623-9_26
]Search in Google Scholar
[
Tversky, A. (1977) Features of similarity. Psychol. Rev., 84, 327–352.
]Search in Google Scholar
[
Veltkamp, R.C. and Hagedoorn, M. (2000) Shape similarities, properties, and constructions. In: Advances in Visual Information Systems, Proc. 4th International Conference, VISUAL 2000, LNCS 1929, Springer, 467–476.
]Search in Google Scholar
[
Veltkamp, R. (2001a) Shape Matching: similarity measures and algorithms. Proc. Shape Modelling International, Italy, IEEE Press, 187–197.
]Search in Google Scholar
[
Veltkamp, R.C. (2001b) Shape Matching: Similarity Measures and Algorithms. UU-CS-2001-3, 1–17.
]Search in Google Scholar
[
Wang, X., De Baets, B. and Kerre, E. (1995) A comparative study of similarity measures. Fuzzy Sets and Systems, 73 (2), 259–268.10.1016/0165-0114(94)00308-T
]Search in Google Scholar
[
Zadeh, L.A. (1965) Fuzzy sets. Information and Control, 8, 338–353.10.1016/S0019-9958(65)90241-X
]Search in Google Scholar