Abstract
Z. Pawlak’s RS Model finds various applications in Knowledge Engineering confined with information systems. Considering its importance, as Zadeh’s Fuzzy Model and Atanassov’s intuitionistic Fuzzy Model are being combined with RS Model. In particular, G. Ganesan et al., derived a tool for indexing information systems with a single threshold using the fuzzy decision attributes and intuitionistic fuzzy decision attributes. In this paper, we extend their approach for two thresholds using fuzzy decision attributes and intuitionistic fuzzy decision attributes individually and further, we develop algorithms for indexing information systems with two thresholds and implement them using C.
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References
Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Krishnaveni, B., et al.: Characterization of information systems with fuzzy and intuitionistic fuzzy decision attributes. In: 8th International Conference on Advanced Software Engineering and Its Applications, Korea, pp. 53–58. IEEE (2015)
Latha, D., et al.: Probabilistic rough classification in information systems under intuitionistic fuzziness. Int. J. Wareh. Min. 3(2), 82–86 (2013)
Ganesan, G., Latha, D.: Rough classification induced by intuitionistic fuzzy sets. Int. J. Comput. Math. Sci. Appl. 1(1), 63–69 (2007)
Ganesan, G., et al.: Rough set: analysis of fuzzy sets using thresholds. In: Computational Mathematics, Narosa, India, pp. 81–87 (2005)
Ganesan, G., et al.: An overview of rough sets. In: Proceedings of the National Conference on the Emerging Trends in Pure and Applied Mathematics, Palayamkottai, India, pp. 70–76 (2005)
Ganesan, G., et al.: Rough index in information system with fuzziness in decision attributes. Int. J. Fuzzy Math. 17(1), 183–190 (2008)
Ganesan, G., et al.: Feature selection using fuzzy decision attributes. J. Inf. 9(3), 381–394 (2006)
Venkataramana, B., et al.: Rough-fuzzy classification on a decision table using a threshold- algorithms and implementations. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 3(5), 777–782 (2018)
Venkataramana, B., et al.: Algorithms on rough-intuitionistic fuzzy classification with a threshold and implementations. Int. J. Eng. Comput. Sci. 7(6), 24093–24098 (2018)
Pawlak, Z.: Rough Sets-Theoretical Aspects and Reasoning About Data. Kluwer Academic Publications, Dordrecht (1991)
Pawlak, Z.: Rough sets. Int. J. Comput. Inform. Sci. 11, 341–356 (1982)
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Venkataramana, B., Padmasree, L., Srinivasa Rao, M., Ganesan, G. (2020). A Study on Rough Indices in Information Systems with Fuzzy or Intuitionistic Fuzzy Decision Attributes-Two Thresholds Approach. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_11
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DOI: https://doi.org/10.1007/978-3-030-24643-3_11
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