Mitra, Sushmita ; Banka, Haider Application of Rough Sets in Pattern Recognition Lecture Notes in Computer Science . pp. 151-169. ISSN 0302-9743
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Official URL: https://doi.org/10.1007/978-3-540-71663-1_10
Related URL: http://dx.doi.org/10.1007/978-3-540-71663-1_10
Abstract
Computational intelligence poses several possibilities in Bioinformatics, particularly by generating low-cost, low-precision, good solutions. Rough sets promise to open up an important dimension in this direction. The present article surveys the role of artificial neural networks, fuzzy sets and genetic algorithms, with particular emphasis on rough sets, in Bioinformatics. Since the work entails processing huge amounts of incomplete or ambiguous biological data, the knowledge reduction capability of rough sets, learning ability of neural networks, uncertainty handling capacity of fuzzy sets and searching potential of genetic algorithms are synergistically utilized.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer-Verlag. |
| Keywords: | Rough sets; Soft computing; Biological data mining; Proteins gene expression; Artificial neural networks; Genetic algorithms. |
| ID Code: | 140165 |
| Deposited On: | 07 Sep 2025 05:39 |
| Last Modified: | 07 Sep 2025 07:11 |
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