Foundations of near sets
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[1] S. Leśniewski. Grundzüge eines neuen Systems der Grundlagen der Mathematik , 1929 .
[2] James F. Peters,et al. Approximation and Perception in Ethology‐Based Reinforcement Learning , 2008 .
[3] Paul Weingartner,et al. Foundations of Logic and Linguistics , 1985 .
[4] Shivani Gupta,et al. ENHANCING PERFORMANCE OF FACE RECOGNITION SYSTEM BY USING NEAR SET APPROACH FOR SELECTING FACIAL FEATURES , 2008 .
[5] James F. Peters,et al. Tolerance Classes in Measuring Image Resemblance , 2009, KES.
[6] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[7] Jean-Baptiste Lully,et al. The collected works , 1996 .
[8] James F. Peters,et al. Tolerance near sets and image correspondence , 2009, Int. J. Bio Inspired Comput..
[9] Zdzislaw Pawlak,et al. Some Issues on Rough Sets , 2004, Trans. Rough Sets.
[10] G. Grätzer. General Lattice Theory , 1978 .
[11] S. Naimpally,et al. Proximity approach to semi-metric and developable spaces. , 1973 .
[12] James F. Peters,et al. Image Pattern Recognition Using Near Sets , 2009, RSFDGrC.
[13] George Grätzer,et al. Joint review of general lattice theory (second edition) and the congruences of a finite lattice: a proof-by picture approach , 2007, SIGA.
[14] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[15] Gerald Schaefer,et al. Rough Sets and near Sets in Medical Imaging: a Review , 2022 .
[16] Maurice Merleau-Ponty,et al. Phenomenology of perception , 2016 .
[17] Hideyuki Tamura,et al. Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[18] Antônio de Pádua Braga,et al. Special Issue on VIII Brazilian Symposium on Neural Networks , 2007, Int. J. Hybrid Intell. Syst..
[19] G. Klubertanz,et al. "Mathematics and Science: Last Essays," by Henri Poincare, trans. John W. Bolduc , 1966 .
[20] Witold Lipski,et al. On Databases with Incomplete Information , 1981, JACM.
[21] Andrzej Skowron,et al. Nearness of Objects: Extension of Approximation Space Model , 2007, Fundam. Informaticae.
[22] George Grätzer,et al. The Congruences of a Finite Lattice , 2005 .
[23] James F. Peters,et al. Biologically-Inspired Adaptive Learning: A Near Set Approach , 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.
[24] Ewa Orlowska,et al. Semantics of Vague Concepts , 1985 .
[25] J. Murray. The Oxford English Dictionary , 1913 .
[26] James F. Peters,et al. Affinities between Perceptual Granules: Foundations and Perspectives , 2009, Human-Centric Information Processing Through Granular Modelling.
[27] Andrzej Skowron,et al. Rough-Granular Computing , 2008 .
[28] Andrzej Skowron,et al. Nearness in Approximation Spaces , 2006 .
[29] T. Sebo,et al. Digital image analysis. , 1995, Mayo Clinic proceedings.
[30] A. Tarski,et al. Zur Grundlegung der Boole'schen Algebra. I , 1935 .
[31] Andrzej Skowron,et al. Rough sets: Some extensions , 2007, Inf. Sci..
[32] James F. Peters,et al. Near Sets. General Theory About Nearness of Objects , 2007 .
[33] R. Tennant. Algebra , 1941, Nature.
[34] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[35] James F. Peters,et al. Feature Selection: Near Set Approach , 2007, MCD.
[36] A. B. Sossinsky,et al. Tolerance space theory and some applications , 1986 .
[37] J. Simpson,et al. The Oxford English Dictionary , 1884 .
[38] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[39] Andrzej Walczak,et al. Adaptive edge detection method for images , 2008 .
[40] F. Hausdorff. Dimension und äußeres Maß , 1918 .
[41] Monique Pavel,et al. Fundamentals of pattern recognition , 1989 .
[42] Sankar K. Pal,et al. Entropy: a new definition and its applications , 1991, IEEE Trans. Syst. Man Cybern..
[43] Ewa Orlowska,et al. Representation of Nondeterministic Information , 1984, Theor. Comput. Sci..
[44] Z. Pawlak. Classification of objects by means of attributes , 1981 .
[45] Andrzej Skowron,et al. Rough sets and Boolean reasoning , 2007, Inf. Sci..
[46] C. H. Chen,et al. Handbook of Pattern Recognition and Computer Vision , 1993 .
[47] Michael Unser,et al. Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..
[48] R. Sokołowski. Ideas Pertaining to A Pure Phenomenology and to A Phenomenological Philosophy. First Book , 1984 .
[49] George Grätzer,et al. A lattice construction and congruence-preserving extensions , 1995 .
[50] James F. Peters,et al. Near Sets. Special Theory about Nearness of Objects , 2007, Fundam. Informaticae.
[51] J. Kacprzyk,et al. Incomplete Information: Rough Set Analysis , 1997 .
[52] James F. Peters,et al. Reinforcement Learning with Approximation Spaces , 2006, Fundam. Informaticae.
[53] F. Stephan,et al. Set theory , 2018, Mathematical Statistics with Applications in R.
[54] Miroslaw Pawlak,et al. Image analysis by moments : reconstruction and computational aspects , 2006 .
[55] Miroslaw Pawlak,et al. On Image Analysis by Moments , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[56] Yann Gousseau,et al. Adaptive image retrieval based on the spatial organization of colors , 2008, Comput. Vis. Image Underst..
[57] James F. Peters,et al. Biologically-inspired adaptive learning control strategies: A rough set approach , 2007, Int. J. Hybrid Intell. Syst..
[58] Andrzej Skowron,et al. Rough mereology: A new paradigm for approximate reasoning , 1996, Int. J. Approx. Reason..
[59] Andrzej Skowron,et al. Rudiments of rough sets , 2007, Inf. Sci..