کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946039 1439265 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity
چکیده انگلیسی
Rough set theory is a powerful mathematical tool to deal with uncertainty in data analysis. Interval-valued information systems are generalized models of single-valued information systems. Recently, uncertainty measures for complete interval-valued information systems or complete interval-valued decision systems have been developed. However, there are few studies on uncertainty measurements for incomplete interval-valued information systems. This paper aims to investigate the uncertainty measures in incomplete interval-valued information systems based on an α-weak similarity. Firstly, the maximum and the minimum similarity degrees are defined when interval-values information systems are incomplete based on the similarity relation. The concept of α-weak similarity relation is also defined. Secondly, the rough set model is constructed. Based on this model, accuracy, roughness and approximation accuracy are given to evaluate the uncertainty in incomplete interval-valued information systems. Furthermore, experimental analysis shows the effectiveness of the constructed uncertainty measures for incomplete interval-valued information systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 136, 15 November 2017, Pages 159-171
نویسندگان
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