کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496513 862861 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Compactness rate as a rule selection index based on Rough Set Theory to improve data analysis for personal investment portfolios
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Compactness rate as a rule selection index based on Rough Set Theory to improve data analysis for personal investment portfolios
چکیده انگلیسی

This study proposes a selection index technique, namely a compactness rate based on Rough Set Theory (RST), for improving data analysis, eliminating data amount and reducing the number of decision rule. This study uses an empirical real-case involving a personal investment portfolio to demonstrate the proposed method. The presented case includes 75 rules generated by the RST. The rules are vague and fragmentary, making it very difficult to interpret the information. Many rules have the same strength and number of support objects and condition parts. These are creating a critical problem for decision making. The new method proposed in this study not only enables the selection of interesting rules, but it also reduces the data amount, and offers alternative strategies that can help decision-makers analyze data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 4, June 2011, Pages 3671–3679
نویسندگان
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