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Information Entropy and Information Granulation-based Uncertainty Measures in Incomplete Information Systems |
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PP: 2073-2083 |
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Author(s) |
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Lin Sun,
Jiucheng Xu,
Tianhe Xu,
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Abstract |
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In this paper, concepts of information entropy and information granulation-based uncertainty measures are introduced in
incomplete information/decision systems, and based on maximal consistent block technique, some variants of information entropy and
information granulation are presented to measure the discernibility ability of an incomplete information system. Then, some important
properties of them are discussed. From these properties, it can be shown that these proposed measures provide important approaches
to measure the uncertainty ability of different knowledge in incomplete information/decision systems. And relationships among these
measures are established as well. These results will be very helpful for understanding the essence of knowledge content and uncertainty
measures in incomplete information systems. |
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