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A Variable Precision Covering-Based Rough Set Model Based on Functions
Classical rough set theory is a technique of granular computing for handling the uncertainty, vagueness, and granularity in information systems. Covering-based rough sets are proposed to generalize this theory for dealing with covering data. By introducing a concept of misclassification rate functio...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi Publishing Corporation
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4142164/ https://ncbi.nlm.nih.gov/pubmed/25177715 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/210129 |
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