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Crisp and Fuzzy Topological Interior and Closure Operators with Inclusion Degree : Theory and Applications

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Języki publikacji
EN
Abstrakty
EN
This article introduces interior and closure operators with inclusion degree considered within a crisp or fuzzy topological framework. First, inclusion degree is introduced in an extension of the interior and closure operators in crisp topology. This idea is then introduced in fuzzy topology by incorporating a relaxed version of fuzzy subsethood. The introduction of inclusion degree leads to a means of dealing with imperfections and small errors, especially in cases such as digital images where boundaries of subsets of an image are not crisp. The properties of the new operators are presented. Applications of the proposed operators are given in terms of rough sets and mathematical morphology.
Wydawca
Rocznik
Strony
207--225
Opis fizyczny
Bibliogr. 68 poz., rys., wykr.
Twórcy
autor
  • Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, University of Manitoba Winnipeg, Manitoba R3T 5V6 Canada
autor
  • Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, University of Manitoba Winnipeg, Manitoba R3T 5V6 Canada
Bibliografia
  • [1] Beer, G., Lechnicki, A., Levi, S., Naimpally, S.: Distance functionals and suprema of hyperspace topologies, Annali di Matematica pura ed applicata, CLXII(IV), 1992, 367–381.
  • [2] Beer, G., Lucchetti, R.: Weak topologies for the closed subsets of a metrizable space, Trans. Am. Math. Soc., 335(2), 1993, 805–822.
  • [3] Bloch, I.: On links between mathematical morphology and rough sets, Pattern Recognition, 33(9), 2000, 1487–1496.
  • [4] Bloch, I.: Bipolar fuzzy mathematical morphology for spatial reasoning, Mathematical Morphology and Its Application to Signal and Image Processing, 2009, 24–34.
  • [5] Bloch, I., Maître, H.: Fuzzy mathematical morphology, Annals of Mathematics and Artificial Intelligence, 10(1), 1994, 55–84.
  • [6] Bourbaki, N.: Topologie générale, 1-4, Hermann, Paris, 1971, Springer-Verlag published a new edition in 2007.
  • [7] Bourbaki, N.: Elements ofMathematics. General Topology, Pt. 1, Hermann, Addison-Wesley, Paris, Reading, MA, 1974,1966.
  • [8] Cameron, P., Hocking, J., Naimpally, S.: Nearness–A better approach to continuity and limits, Amer. Math. Monthly, 81(7), 1974, 739–745.
  • [9] Chang, C.: Fuzzy topological spaces, Journal ofMathematical analysis and applications, 24, 1968, 182–190.
  • [10] Chatzis, V., Pitas, I.: A generalized fuzzymathematicalmorphology and its application in robust 2-D and 3-D object representation, Image Processing, IEEE Transactions on, 9(10), 2000, 1798–1810, ISSN 1057-7149.
  • [11] DiMaio, G., Lowen, R., Naimpally, S.: Gap functionals, proximities and hyperspace compactification, Topology Appl., 153, 2005, 756–766.
  • [12] Dubois, D., Prade, H.: Fuzzy sets and systems: Theory and applications, Academic Pr, 1980.
  • [13] Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets*, International Journal of general systems, 17(2), 1990, 191–209, ISSN 0308-1079.
  • [14] Efremoviˇc, V.: The geometry of proximity I, Mat. Sb., 31, 1951, 189–200 (in Russian), MR 14, 1106.
  • [15] Engelking, R.: General Topology, Revised & completed edition, Heldermann Verlag, Berlin, 1989.
  • [16] Fashandi, H., Peters, J. F.: Mathematical Morphology and Rough Sets, in: Rough Fuzzy Image Analysis. Foundations and Methodologies (S. Pal, J. Peters, Eds.), Chapman Hall/CRC Mathematical and Computational Imaging Sciences Series, part 4, CRC Press, Taylor Francis Group, 2010.
  • [17] Fashandi, H., Peters, J. F.: A fuzzy topological framework for classifying image databases, International Journal of Intelligent Systems, 26(7), 2011, 621–635.
  • [18] Gemignani, M.: Elementary topology, Courier Dover Publications, 1990.
  • [19] Goguen, J.: L-fuzzy sets, Journal of Mathematical Analysis and Applications, 18, 1967, 145–174.
  • [20] Goguen, J.: The logic of inexact concepts, Synthese, 19(3), 1969, 325–373, ISSN 0039-7857.
  • [21] Goutsias, J., Heijmans, H. J. A. M.: Fundamenta morphologicae mathematicae, Fundamenta Informaticae., 41(1-2), 2000, 1–31, ISSN 0169-2968.
  • [22] Gregori, V., Vidal, A.: Gradations of openness and Chang’s fuzzy topologies, Fuzzy Sets and Systems., 109(2), 2000, 233–244, ISSN 0165-0114.
  • [23] Hazra, R. N., Samanta, S. K., Chattopadhyay, K. C.: Fuzzy topology redefined, Fuzzy Sets and Systems., 45(1), 1992, 79–82, ISSN 0165-0114.
  • [24] Heijmans, H. J. A. M., Ronse, C.: The algebraic basis of mathematical morphology. I. dilations and erosions, Comput. Vision Graph. Image Process., 50(3), 1990, 245–295, ISSN 0734-189X.
  • [25] Henry, C.: Near Sets: Theory and Applications, Ph.D. dissertation, supervisor: J.F. Peters, Ph.D. Thesis, Department of Electrical & Computer Engineering, 2010.
  • [26] Höhle, U., Prost, H.-E., Šostak, A.: Fuzzy Functions: a Fuzzy Extension of the Category SET and Some Related Categories, Applied General Topology, 1(1), 2000, 115–127.
  • [27] Höhle, U., et al.: A general theory of fuzzy topological spaces* 1, Fuzzy Sets and Systems, 73(1), 1995, 131–149.
  • [28] Kosko, B.: Fuzzy entropy and conditioning., Info. Sci., 40(2), 1986, 165–174.
  • [29] Kubiak, T., ˇSostak, A.: A fuzzification of the category of M-valued L-topological spaces, Applied General Topology, 5(2), 2004, 137–154.
  • [30] Lowen, R.: Fuzzy topological spaces and fuzzy compactness, Journal of Mathematical analysis and applications, 56(3), 1976, 621–633.
  • [31] Matheron, G.: Random sets and integral geometry, Wiley New York, 1975.
  • [32] Mondal, T., Samanta, S.: On intuitionistic gradation of openness, Fuzzy Sets and Systems, 131(3), 2002, 323–336.
  • [33] Naimpally, S.: Reflective functors via nearness, Fund. Math., 85, 1974, 245–255.
  • [34] Naimpally, S.: Near and far. A centennial tribute to Frigyes Riesz, Siberian ElectronicMathematical Reports, 2, 2009, 144–153.
  • [35] Naimpally, S., Peters, J.: Topology with Applications. Topological Spaces Via Near and Far, World Scientific Pub. Co. Pte. Ltd., Singapore, 2012, , to appear.
  • [36] Palaniappan, N.: Fuzzy topology, Alpha Science International, Ltd, 2005.
  • [37] Pawlak, Z.: Classification of Objects by Means of Attributes, Polish Academy of Sciences, 429, 1981.
  • [38] Pawlak, Z.: Rough sets, International J. Comp. Inform. Science, 11, 1981, 341–356.
  • [39] Pawlak, Z., Skowron, A.: Rough sets and Boolean reasoning, Information Sciences, 177, 2007, 41–73.
  • [40] Pawlak, Z., Skowron, A.: Rough sets: Some extensions, Information Sciences, 177, 2007, 28–40.
  • [41] Pawlak, Z., Skowron, A.: Rudiments of rough sets, Information Sciences, 177, 2007, 3–27.
  • [42] Peters, J.: Near sets. Special theory about nearness of objects, Fundamenta Informaticae, 75(1-4), 2007, 407–433.
  • [43] Peters, J., Naimpally, S.: Approach spaces for near families, Gen. Math. Notes, 2(1), 2011, 159–164.
  • [44] Peters, J., Skowron, A., Stepaniuk, J.: Nearness of objects: Extension of approximation space model, Fundamenta Informaticae, 79(3-4), 2007, 497–512.
  • [45] Peters, J., Tiwari, S.: Approach merotopies and near filters. Theory and application, General Mathematics Notes, 3(1), 2011, 1–15.
  • [46] Peters, J., Wasilewski, P.: Foundations of Near Sets, Information Sciences. An International Journal, 179, 2009, 3091–3109, Digital object identifier: doi:10.1016/j.ins.2009.04.018.
  • [47] Polkowski, L.: Approximate mathematical morphology. Rough set approach, Rough Fuzzy Hybridization: A New Trend in Decision-Making, 1999.
  • [48] Qin, K., Pei, Z.: On the topological properties of fuzzy rough sets, Fuzzy sets and systems, 151(3), 2005, 601–613.
  • [49] Riesz, F.: Stetigkeitsbegriff und abstrakte Mengenlehre, m IV Congresso Internazionale dei Matematici, II, 1908, 18–24.
  • [50] Serra, J.: Image analysis and mathematical morphology, Academic Press, Inc. Orlando, FL, USA, 1983.
  • [51] Shi, W., Liu, K.: A fuzzy topology for computing the interior, boundary, and exterior of spatial objects quantitatively in GIS, Comput. Geosci., 33(7), 2007, 898–915, ISSN 0098-3004.
  • [52] Sinha, D., Dougherty, E. R.: Fuzzification of set inclusion: theory and applications, Fuzzy Sets and Systems., 55(1), 1993, 15–42, ISSN 0165-0114.
  • [53] Skowron, A., Stepaniuk, J.: Tolerance Approximation Spaces, Fundamenta Informaticae, 27(2/3), 1996, 245–253.
  • [54] ˇSostak, A.: Two decades of fuzzy topology: basic ideas, notions, and results, Russian Mathematical Surveys, 44(6), 1989, 125–186.
  • [55] Sun, Z.-g., Chen, J., Meng, G.-w.: A new variable precision morphological model for eliminating noises of digital images, Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03, CISP ’08, IEEE Computer Society,Washington, DC, USA, 2008, ISBN 978-0-7695-3119-9.
  • [56] Tiwari, S.: Some Aspects of General Topology and Applications. Approach Merotopic Structures and Applications, supervisor: M. Khare, Ph.D. Thesis, Department of Mathematics, Allahabad (U.P.), India, Jan. 2010.
  • [57] ˘Cech, E.: Topological Spaces,, revised Ed. by Z. Frolik and M. Katătov, JohnWiley & Sons, NY, 1966.
  • [58] Wang, L.: A course in fuzzy systems and control, Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 1996.
  • [59] Wasilewski, P., Peters, J., Ramanna, S.: Perceptual tolerance intersection, Trans. on Rough Sets, XIII, 2011, 159–174.
  • [60] Wu, W., Mi, J., Zhang,W.: Generalized fuzzy rough sets, Information Sciences, 151, 2003, 263–282, ISSN 0020-0255.
  • [61] Xu, Z., Liang, J., Dang, C., Chin, K.: Inclusion degree: a perspective on measures for rough set data analysis, Information Sciences, 141(3-4), 2002, 227–236, ISSN 0020-0255.
  • [62] Yao, Y.: Generalized rough set models, Rough Sets in Knowledge Discovery, 1, 1998, 286–318.
  • [63] Yeung, D., Chen, D., Tsang, E., Lee, J., Xizhao, W.: On the generalization of fuzzy rough sets, Fuzzy Systems, IEEE Transactions on, 13(3), 2005, 343–361, ISSN 1063-6706.
  • [64] Young, V. R.: Fuzzy subsethood, Fuzzy Sets and Systems., 77(3), 1996, 371–384, ISSN 0165-0114.
  • [65] Zadeh, L. A.: Fuzzy sets*, Information and control, 8(3), 1965, 338–353.
  • [66] Zeng,W., Li, H.: Inclusion measures, similarity measures, and the fuzziness of fuzzy sets and their relations: Research Articles, Int. J. Intell. Syst., 21, June 2006, 639–653, ISSN 0884-8173.
  • [67] Zhang, A., Ha,M., Fan, Y.: Variable Precision Fuzzy Rough SetModel Based on Fuzzy Covering, Innovative Computing Information and Control, 2008. ICICIC’08. 3rd International Conference on, 2008.
  • [68] Ziarko, W.: Variable precision rough set model, Journal of Computer and System Sciences, 46(1), 1993, 39–59, ISSN 0022-0000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9574efa9-a13e-4fd0-9910-663455dfa346
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