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Register a new userDiscovering Maximal Generalized Decision Rules in Databases
اكتشاف قواعد القرار المعممة الأعظمية من قواعد المعطيات
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Aِl-Baath University ورقة بحثية
Publication date
2016
fields
Informatics Engineering
and research's language is
العربية
Authors
عبد الله حسن العمر( باحث )
Created by
Shamra Editor
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يزداد حجم المعطيات المولدة هذه الأيام بمعدل هائل. و ان استخراج المعرفة المفيدة من مثل هذه المجموعات من المعطيات هو موضوع هام و تحد. التقنية الواعدة هي منهج المجموعات التقريبية، الطريقة الرياضية الجديدة لتحليل المعطيات اعتماداً على تصنيف الأغراض في صفوف متشابهة، التي تكون غير قابلة للتمييز بالنسبة لبعض السمات. تركز هذه المقالة على اكتشاف قواعد القرار المعممة الأعظمية من قواعد المعطيات اعتماداً على التراجع البسيط أو المتعدد و خوارزمية التعميم و مصفوفة القرار.
The volume of data being generated nowadays is increasing at phenomenal rate. Extracting useful knowledge from such data collections is an important and challenging issue. A promising technique is the rough set approach, a new mathematical method to data analysis based on classification of objects into similarity classes, which are indiscernible with respect to some features. This paper focuses on discovering maximal generalized decision rules in databases based on a simple or multiple regression, generalized theory, and decision matrix.
References used
W. Ziarko, 1993- Variable Precision Rough Sets Model, Journal of Computer and Systems Sciences, vol. 46. no. 1, pp. 39-59
Pawlak, Z. and Skowron, 2007- Rudiments of Rough Sets, Information Sciences, 177,3-27
S. Bhattacharya and K. Debnath, 2016- A Study on Lower Interval Probability Function Based Decision Theoretic Rough Set Models , Annals of Fuzzy Mathematics and Informatics, Volume x, No. x, pp. 1-xx
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