Abstract
This paper aims to provide a rough set-based reduction solution for a type of domination problem in graph theory. First, we introduce a decision table to represent the vertices and edges of a graph. Second, we claim that computing a minimal total dominating set of a graph is equivalent to finding a reduct of the induced decision table. Then, a reduction algorithm in rough set theory is designed for finding a suboptimal total dominating set of a graph. In the end, numerical experiments are conducted to examine the effectiveness and efficiency of the proposed algorithm.
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References
Haynes, T., Hedetniemi, S., Slater, P.: Fundamentals of Domination in Graphs. Marcel Dekker Inc., New York (1998)
Henning, M.: A survey of selected recent results on total domination in graphs. Discret. Math. 309, 32–63 (2009)
Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishing, Dordrecht (1991)
Qian, Y., Liang, J., Pedrycz, J., Dang, C.: Positive approximation: an accelerator for attribute reduction in rough set theory. Artif. Intell. 174, 597–618 (2010)
Sanchis, L.: Experimental analysis of heuristic algorithms for the dominating set problem. Algorithmica 33, 3–18 (2002)
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems, handbook of applications and advances of the rough sets theory. In: Slowinski, R. (ed.) Intelligent Decision Support. Kluwer, Dordrecht (1992)
Ślęzak, D.: Association reducts: complexity and heuristics. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 157–164. Springer, Heidelberg (2006). doi:10.1007/11908029_18
Ślęzak, D.: On generalized decision functions: reducts, networks and ensembles. In: Yao, Y., Hu, Q., Yu, H., Grzymala-Busse, J.W. (eds.) RSFDGrC 2015. LNCS (LNAI), vol. 9437, pp. 13–23. Springer, Cham (2015). doi:10.1007/978-3-319-25783-9_2
Wang, G., Yu, H., Yang, D.: Decision table reduction based on conditional information entropy. Chin. J. Comput. 25, 759–766 (2002)
Yao, Y., Zhao, Y.: Discernibility matrix simplification for constructing attribute reducts. Inf. Sci. 179, 867–882 (2009)
Yao, Y., Zhao, Y.: Two bayesian approaches to rough sets. Eur. J. Oper. Res. 251, 904–917 (2016)
Acknowledgements
This work was supported by a grant from the National Natural Science Foundation of China (No. 61602415).
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Tan, A., Tao, Y., Wang, C. (2017). A Rough-Set Based Solution of the Total Domination Problem. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10313. Springer, Cham. https://doi.org/10.1007/978-3-319-60837-2_11
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DOI: https://doi.org/10.1007/978-3-319-60837-2_11
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