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Liu, Deshan; Wang, Dapeng; Yan, Deqin; Sang, Yu

Approximate accuracy approaches to attribute reduction for information systems. (English) Zbl 1468.68225

Abstr. Appl. Anal. 2014, Article ID 382967, 6 p. (2014).
Summary: The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed. Experiments show the effect of proposed algorithm.

MSC:

68T30 Knowledge representation
68T37 Reasoning under uncertainty in the context of artificial intelligence
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\textit{D. Liu} et al., Abstr. Appl. Anal. 2014, Article ID 382967, 6 p. (2014; Zbl 1468.68225)
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References:

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