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. © 2013 Springer-Verlag.
CITATION STYLE
Wang, G., Xu, C., & Yu, H. (2013). Expression and processing of uncertain information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8171 LNAI, pp. 53–65). https://doi.org/10.1007/978-3-642-41299-8_6
Mendeley helps you to discover research relevant for your work.