Volume 4 Number 5 (Oct. 2012)
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IJCEE 2012 Vol.4(5): 758-761 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2012.V4.600

Novel Statistical Arguments and Stability Coefficient Methods in Dynamic Reducts

Wang Jiayang and Khaled Omar Salem AL-wesabi

Abstract—The paper discusses the methods used to rough set theory knowledge to discovery from decision tables. From this ways dynamic reduct. Discovery relative static and dynamic reducts, discovery frequent sets, discovery decision rules and calculate stability coefficients for objects from a decision table. The most important and matchless feature of dynamic reduct is ability to calculate stability coefficients for every object from decision table using different methods. In this study we present some statistical arguments showing the introduced stability coefficient of dynamic reducts are proper measures of their quality.

Index Terms—Dynamic reduct, Decision table, Rough set, Stability coefficients.

The authors are with School of Information Science and Technology, Central South University, Changsha, China (e-mail address:csuwjy@mail.csu.edu.cn)

Cite: Wang Jiayang and Khaled Omar Salem AL-wesabi, "Novel Statistical Arguments and Stability Coefficient Methods in Dynamic Reducts," International Journal of Computer and Electrical Engineering vol. 4, no. 5, pp. 758-761, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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