A comparative study of some uncertain information theories

Abstract

This paper summarizes the characters of some theories which deal with uncertain information including probability and mathematical statistics, fuzzy mathematics, rough sets, nonclassical logic and grey systems, as well as compares and analyses the similarities and differences among them. Moreover, in this paper, we discuss the feasibility of combining respective advantages of dealing with uncertain information with others' so as to process uncertain information more effectively.

Cite this paper

@article{Wu2005ACS, title={A comparative study of some uncertain information theories}, author={S. X. Wu and M. Q. Li and L. P. Cai and S. F. Liu}, journal={2005 International Conference on Control and Automation}, year={2005}, volume={2}, pages={1114-1119 Vol. 2} }