An Evaluation Model Based on Rough Sets

Article Preview

Abstract:

In multiattribute decision making, it is critical to indentify the importance degree of attributes before the overall assessment of the alternatives. In this paper, we give a measurement of importance degree of attributes based on knowledge discovery in the decision information system, which satisfies the conditions of fuzzy measure. Further, we construct an evaluation model combined Choquet integral with the importance degree measure. The case study illustrates the validity and the effectiveness of the method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3379-3383

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] C. L. Hwang and K. Yoon: Multiple Attribute Decision Making: Methods and Applications, (Springer, Berlin, Heideberg, New York 1981).

Google Scholar

[2] Zhenyuan Wang and G. J. Klir: Fuzzy measure theory, (Plenum Press, New York 1992).

Google Scholar

[3] G. J. Klir, Zhenyuan Wang and H. David: Constructing Fuzzy Measures in Expert Systems, Fuzzy Sets and Systems, Vol. 92(1997), pp.251-264.

DOI: 10.1016/s0165-0114(97)00174-7

Google Scholar

[4] E. F. Combarro and P. Miranda: Identification of Fuzzy Measures from Sample Data with Genetic Algorithms, Computers & Operations Research. Vol. 33(2006), pp.3046-3066.

DOI: 10.1016/j.cor.2005.02.034

Google Scholar

[5] Grabisch M. and Nicolas N. J.: Classification by Fuzzy Integral: Performance and Tests, Fuzzy Sets and Systems. Vol. 65(1994), pp.255-271.

DOI: 10.1016/0165-0114(94)90023-x

Google Scholar

[6] Xizhao Wang, Yulin He, Lingcai Dong and Huanyu Zhao: Particle Swarm Optimization for Determining Fuzzy Measures from Data, Information Sciences. Vol. 181(2011), pp.4230-4252.

DOI: 10.1016/j.ins.2011.06.002

Google Scholar

[7] Z. Pawlak: Rough sets, International Journal of Computer and information Science. Vol. 11(1982), pp.341-356.

Google Scholar

[8] Junbo Zhang, Tianrui Li and Hongmei Chen: Composite Rough Sets for Dynamic Data Mining, Information Sciences. Vol. 257(2014), pp.81-100.

DOI: 10.1016/j.ins.2013.08.016

Google Scholar

[9] Huiling Chen, Bo Yang, Jie Liu and Dayou Liu: A Support Vector Machine Classifier with Rough Set-based Feature Selection for Breast Cancer Diagnosis. Expert Systems with Applications. Vol. 38(2011), pp.9014-9022.

DOI: 10.1016/j.eswa.2011.01.120

Google Scholar

[10] Jinmao Wei, Shuqin Wang, Mingyang Wang, Junping You and Dayou Liu: Rough Set Based Approach for Inducing Decision Trees, Knowledge-Based Systems. Vol. 20(2007), pp.695-702.

DOI: 10.1016/j.knosys.2006.10.001

Google Scholar

[11] Choquet G.: Theory of Capacities, Annales de l'Institut Fourier. Vol. 5(1954), pp.131-295.

Google Scholar