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

Attribute Reduction in Stochastic Information Systems Based on ?-Dominance

Mihrimah ÖZMEN
Emel KIZILKAYA AYDOĞAN
Sayfa
211–219
Yayın Tarihi
2022-10-14
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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

📌 3 Maddede Bu Makale

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Amaç & Hipotez:-- Rough set has been commonly taken part in literature to examine inadequate systems.
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Temel Bulgular & Veri: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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Sonuç & Katkı:Also this research proposes many research fields and new application areas show a tendency to concerning rough set approach to stochastic information systems.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

-- Rough set has been commonly taken part in literature to examine inadequate 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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Bu Makaleye Atıf Yap

ÖZMEN, M., AYDOĞAN, E. K. (2022). Attribute Reduction in Stochastic Information Systems Based on ?-Dominance. Bilişim Teknolojileri Dergisi, Cilt: 10 - Sayı: 2, 211–219. https://ajindex.com/articles/465331

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