Title :
Research on Consistent Measurement of Uncertainty Based on Entropy
Author :
Tian, Zunhua ; Zhao, Long ; Jia, Yan
Author_Institution :
Coll. of Comput. Sci. & Technol., Nat. Univ. of Defense Technol., Changsha
Abstract :
Uncertainty is an essential characteristic of intelligence. It has various types and usually each type can be measured in a different way. Thus, it is not helpful for thinking and processing as a whole. In this paper, based on entropy, we discuss the measurement of four common types of uncertainty: randomness, fuzziness, contradiction and dynamic. We present the concept of uncertain entropy and analyze the qualities of the concept basically. Having the uncertain entropy, it is possible that different types of uncertainty can be represented, processed and applied uniformly.
Keywords :
entropy; uncertain systems; consistent measurement; information theory; uncertain entropy; Automation; Clouds; Computer science; Educational institutions; Entropy; Equations; Extraterrestrial measurements; Measurement uncertainty; Random variables; Space heating;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.278