Abstract
In this paper, we present an extended technique of decision making by implementing column reduction with reduction based on calculated maximal support objects. Using a Boolean valued information system, certain rows or objects can be defined as ultimate maximum support object, ultimate minimum support object and zero significance parameter. One can then reduce a table by eliminating the defined row or objects in what has been defined as hybrid reduction. As part of our paper, we have managed to show that our proposed model of hybrid reduction yielded a better data size reduction whilst still maintaining consistent results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Maji, P.K., Roy, A.R., Biswas, R.: An Application of Soft Sets in A Decision Making Problem. Computer and Mathematics with Application 44, 1077–1083 (2002)
Molodtsov, D.: Soft Set Theory - First Results. Computers and Mathematics with Applications 37, 19–31 (1999)
Chen, D., Tsang, E.C.C., Yeung, D.S., Wang, X.: The Parameterization Reduction of Soft Sets and Its Applications. Computers and Mathematics with Applications 49, 757–763 (2005)
Kong, Z., Gao, L., Wang, L., Li, S.: The Normal Parameter Reduction of Soft Sets and Its Algorithm. Computers and Mathematics with Applications 56, 3029–3037 (2008)
Zhao, Y., Luo, F., Wong, S.K.M., Yao, Y.Y.: A general definition of an attribute reduct. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M.S., Cercone, N.J., Ślęzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 101–108. Springer, Heidelberg (2007)
Pawlak, Z., Skowron, A.: Rudiments of Rough Sets. Information Sciences 177(1), 3–27 (2007)
Jiawei, H., Micheline, K.: Data Mining, Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2006)
Mohd Rose, A.N., Herawan, T., Mat Deris, M.: A Framework of Decision Making Based on Maximal Supported Sets. In: Zhang, L., Lu, B.-L., Kwok, J. (eds.) ISNN 2010. LNCS, vol. 6063, pp. 473–482. Springer, Heidelberg (2010)
Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. The MIT Press, Cambridge
Pang, N.T., Michael, S., Vipin, K.: Introduction To Data Mining. Addison-Wesley, Reading (2006)
Fitsilis, P., Gerogiannis, V., Kameas, A., Pavlides, G.: Producing Relational Database Schemata from An Object Oriented. In: EUROMICRO 1994, System Architecture and Integration, Proceedings of the 20th EUROMICRO Conference, pp. 251–257 (1994)
Hadj, A.B., Boufares, F., Abdellatif, A.: Checking Constraints Consistency in UML class diagrams. In: The Proceeding of Information and Communication Technologies (ICTTA 2006), vol. 2, pp. 3599–3604 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rose, A.N.M., Awang, M.I., Hassan, H., Zakaria, A.H., Herawan, T., Deris, M.M. (2011). Hybrid Reduction in Soft Set Decision Making. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-24728-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
eBook Packages: Computer ScienceComputer Science (R0)