Abstract
Uncertainty is one basic feature in the information processing, and the expressing and processing of uncertain information have attracted more attentions. There are many theories introduced to process the uncertain information, such as probability theory, random set, evidence theory, fuzzy set theory, rough set theory, cloud model theory and so on. They depict the uncertain information from different aspects. This paper mainly discusses their differences and relations in expressing and processing for uncertain information. The future development trend is also discussed.
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Wang, G., Xu, C., Yu, H. (2013). Expression and Processing of Uncertain Information. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_6
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DOI: https://doi.org/10.1007/978-3-642-41299-8_6
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