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Journals / Bilişim Teknolojileri Dergisi / 2017 / Cilt: 10 - Sayı: 2

Attribute Reduction in Stochastic Information Systems Based on α-Dominance

Emel KIZILKAYA AYDOĞAN
Mihrimah ÖZMEN
Pages
211–219
Publication Date
2017-04-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also this research proposes many research fields and new application areas show a tendency to concerning rough set approach to stochastic information systems.

📌 3 Key Takeaways

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Objective & Hypothesis:Öz Rough set has been commonly taken part in literature to examine inadequate and incomplete information systems.
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Key Findings & Data:Furthermore, attribute reduction methods are studied by considering discernibility matrix and this approach is applied to explanatory examples to demonstrate its validity.
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Conclusion & Impact:Also this research proposes many research fields and new application areas show a tendency to concerning rough set approach to stochastic information systems.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler Rough Sets · Stochastic Information Systems · Attribute Reduction

Özet

Öz Rough set has been commonly taken part in literature to examine inadequate and incomplete information systems. The efficiency of rough set with stochastic data observed for developing convenience and scalability. In this study, we use a ranking approach for attribute reduction in stochastic information systems and generalized this via presenting a dominance relation. We obtained the rough set approach of attribute reduction in stochastic information systems by establishing the dominance degrees. Furthermore, attribute reduction methods are studied by considering discernibility matrix and this approach is applied to explanatory examples to demonstrate its validity. Also this research proposes many research fields and new application areas show a tendency to concerning rough set approach to stochastic information systems.

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Cite This Article

AYDOĞAN, E. K., ÖZMEN, M. (2017). Attribute Reduction in Stochastic Information Systems Based on α-Dominance. Bilişim Teknolojileri Dergisi, Cilt: 10 - Sayı: 2, 211–219. https://ajindex.com/articles/251901

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References (1)

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