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A DNA-Based Algorithm for Minimizing Decision Rules: A Rough Sets Approach | IEEE Journals & Magazine | IEEE Xplore

A DNA-Based Algorithm for Minimizing Decision Rules: A Rough Sets Approach


Abstract:

Rough sets are often exploited for data reduction and classification. While they are conceptually appealing, the techniques used with rough sets can be computationally de...Show More

Abstract:

Rough sets are often exploited for data reduction and classification. While they are conceptually appealing, the techniques used with rough sets can be computationally demanding. To address this obstacle, the objective of this study is to investigate the use of DNA molecules and associated techniques as an optimization vehicle to support algorithms of rough sets. In particular, we develop a DNA-based algorithm to derive decision rules of minimal length. This new approach can be of value when dealing with a large number of objects and their attributes, in which case the complexity of rough-sets-based methods is NP-hard. The proposed algorithm shows how the essential components involved in the minimization of decision rules in data processing can be realized.
Published in: IEEE Transactions on NanoBioscience ( Volume: 10, Issue: 3, September 2011)
Page(s): 139 - 151
Date of Publication: 20 October 2011

ISSN Information:

PubMed ID: 22020105

References

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