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Soft Nearness Approximation Spaces

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Języki publikacji
EN
Abstrakty
EN
In 1999, Molodtsov introduced the theory of soft sets, which can be seen as a new mathematical approach to vagueness. In 2002, near set theory was initiated by J. F. Peters as a generalization of Pawlak's rough set theory. In the near set approach, every perceptual granule is a set of objects that have their origin in the physical world. Objects that have, in some degree, affinities are considered perceptually near each other, i.e., objects with similar descriptions. Also, the concept of near groups has been investigated by İnan and Öztürk [30]. The present paper aims to combine the soft sets approach with near set theory, which gives rise to the new concepts of soft nearness approximation spaces (SNAS), soft lower and upper approximations. Moreover, we give some examples and properties of these soft nearness approximations.
Wydawca
Rocznik
Strony
231--250
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
  • Department of Mathematics, Faculty of Arts and Sciences, Adiyaman University, Adiyaman, Turkey
autor
  • Department of Mathematics, Faculty of Arts and Sciences, Adiyaman University, Adiyaman, Turkey
Bibliografia
  • [1] Peters, J. F.: Near Sets. General Theory About Nearness of Objects, Applied Mathematical Sciences, 1 (53-56), 2007, 2609-2629.
  • [2] Peters, J. F.: Near sets, Special Theory about Nearness of Objects, Fund. Inform., 75 (1-4) (2007), 407-433.
  • [3] Peters, J. F.: Classification of Perceptual Objects by Means of Features, Int. J. Info. Technol. Intell. Comput., 3 (2), 2008, 1-35.
  • [4] Pawlak, Z.: Rough Sets, Int. J. Comput. Inform. Sci., 11 (5), 1982, 341-356.
  • [5] Pawlak, Z.: Classification of Objects by Means of Attributes, Institute for Computer Science, Polish Academy of Sciences, Report 429, 1981.
  • [6] Pawlak, Z., Peters, J. F.: Jak Blisko (how near), Systemy Wspomagania Decyzji I, 57, 109, ISBN:83-920730- 4-5, 2002-2007.
  • [7] Pawlak, Z.: Rough Sets-Theoretical Aspects of :Reasoning about Data, Kluwer Academic Puplishers, Boston, London, Dordrecht, 1991.
  • [8] Yao, Y. Y.: On generalizing Pawlak approximation operators, Lecture Notes in Artificial Intelligence, 1424, 1994, 298-307.
  • [9] Miao, D., Han, S., Li, D. and Sun, L.: Rough Group, Rough Subgroup and Their Properties, Springer-Verlag, Heidelberg, 2005, 104-113.
  • [10] Biswas, R., Nanda, S.: Rough Groups and Rough Subgroups, Bull. Pol. AC. Math., 42, 1994, 251-254.
  • [11] Kuroki, N.: Rough Ideals in Semigroups, Inform. Sci., 100, 1997, 139-163.
  • [12] Kuroki, N. and Wang, P. P.: The Lower and Upper Approximations in a Fuzzy Group, Inform. Sci., 90, 1996, 203-220.
  • [13] Davvaz, B.: Rough sets in a fundamental ring, Bull. Iranian Math. Soc. , 24 (2), 1998,49-61.
  • [14] Davvaz, B.: Roughness in rings, Inform. Sci., 164, 2004, 147-163.
  • [15] Davvaz, B. and Mahdavipour, M.: Roughness in modules, Inform. Sci., 176 (24), 2006, 3658-3674.
  • [16] Iwinski, T. B.: Algebraic approach to rough sets, Bull. Pol. AC. Math. , 35, 1987, 673-683.
  • [17] Polkowski, L.: Rough Sets, Mathematical Foundations, Springer-Verlag, Heidelberg, 2002.
  • [18] Skowron, A., Stepaniuk, J.: Tolerance Approximation Spaces, Fund. Inform., 27 (2-3), 1996, 245-253.
  • [19] Maji, P. K., Biswas, R. and Roy, A. R.: Soft set theory, Comput. Math. Appl. 45, 2003, 555-562.
  • [20] Maji, P. K., Roy, A. R. and Biswas, R.: An application of soft sets in a decision making problem, Comput. Math. Appl., 44, 2002, 1077-1083.
  • [21] Molodtsov, D.: Soft set theory- First results, Comput. Math. Appl., 37, 1999, 19-31.
  • [22] Hassanien, A., Abraham, A., Peters, J., Schaefer, G., Henry, C.: Rough sets and near sets in medical imaging: A review, IEEE Trans Info. Tech. in Biomedicine, 13, (6) 2009, 955-968, digital object identifier: 10.1109/TITB.2009.2017017.
  • [23] Henry, C.: Near sets: Theory and applications, ph.d. dissertation, supervisor: J. F. Peters, Ph.D. thesis, Department of Electrical & Computer Engineering, 2010.
  • [24] Peters, J.: Sufficiently near sets of neighbourhoods, in: J. Yao, S. Ramanna, G. Wang, Z. Suraj (eds.), Rough Sets ad Knowledge Technology, LNCS 6954, Springer, Berlin, 2011, 17-24.
  • [25] Peters, J., Naimpally, S.: Approach spaces for near filters, Gen. Math. Notes, 2, (1) 2011, 159-164.
  • [26] Peters, J., Tiwari, S.: Approach merotopies and near filters, Gen. Math. Notes, 3, (1) 2011, 1-15.
  • [27] Wolski, M.: Perception and classification. A note on near sets and rough sets, Fundamenta Informaticae, 101,2010, 143-155, doi: 10.3233/FI-2010-281.
  • [28] Wolski, M.: Gauges, pregauges and completions: Some theoretical aspects of near and rough set approaches to data, in: J. Yao, S. Ramanna, G. Wang, Z. Suraj (eds.), Rough Sets ad Knowledge Technology, LNCS 6954, Springer, Berlin, 2011, 559-568.
  • [29] Naimpally, S., Peters, J.: Topology with applications. Topological spaces via near and far, World Scientific, Singapore, to appear, 2012.
  • [30] Inan, E., Óztiirk, M. A.: Near groups in nearness approximation spaces, Hacettepe Journal of Mathematics and Statistics, 41 (4), 2012, 545-558.
  • [31] Aktas, H. and Cagman, N.: Soft sets and soft groups, Inform. Sci., 177, 2007, 2726-2735.
  • [32] Feng, F. , Liu, X. , Leoreanu-Fotea, V. , Jun, Y. B.:Soft sets and soft rough sets, Inform. Sci., 181, 2011, 1125-1137
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2cec37e4-dd1d-41ff-98cb-c4808e00ef79
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