Reliable data selection with fuzzy entropy

Authors:
Sang-Hyuk Lee;Youn-Tae Kim;Seong-Pyo Cheon;Sungshin Kim
Affiliations:
School of Electrical and Computer Engineering, Pusan National University, Changjeon-dong, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Changjeon-dong, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Changjeon-dong, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Changjeon-dong, Busan, Korea
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

In this paper, the selection of a data set from a universal set is carried out using a fuzzy entropy function. According to the definition of fuzzy entropy, the fuzzy entropy function is proposed and that function is proved through definitions. The proposed fuzzy entropy function calculates the certainty or uncertainty value of a data set; hence we can choose the data set that satisfies certain bounds or references. Therefore a reliable data set can be obtained using the proposed fuzzy entropy function. With a simple example we verify that the proposed fuzzy entropy function selects the reliable data set.