Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACCS.2009.19
The mobile learning terminals are very important for the whole system which is composed of many related interaction aspects. Moreover, the uncertainty plays very important role in assessing mobile learning terminals’ normal operation. Using Rough Set theory (RS), the uncertain information is mined and much more information about mobile learning terminals is understood in detail. In the process of assessing mobile learning terminals and their roles, the upper and lower approximations are used to define by which the better criteria are used. is applied to acquire more detailed mobile learning terminals information while compared with method. Through case study, it is concluded that the classification is judged with different mobile learning terminals.
RS; mobile learning terminals; K-W method; assessing criteria
W. Zhifeng and Q. Zhiming, "Application of RS in Assessing Mobile Learning Terminals and its Criteria," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 115-118.