@article{ZHU2023, 
author = {Duoduo ZHU and Ruisi REN and Siyu ZHAO and Ling WEI},
title = {Three types of SE-ISI concept reduction based on incomplete contexts},
year = {2023},
journal = {Journal of Northwest University (Natural Science Edition)},
volume = {53},
number = {5},
pages = {821-829},
keywords = {incomplete context, SE-ISI concept reduction, SE-ISI representative concept matrix, SE-ISI concept characteristics},
url = {https://www.sciopen.com/article/10.16152/j.cnki.xdxbzr.2023-05-014},
doi = {10.16152/j.cnki.xdxbzr.2023-05-014},
abstract = {In incomplete contexts, SE-ISI concepts contain abundant uncertain information, but not all SE-ISI concepts are necessary. This paper studies the theories and methods of SE-ISI concept reduction under different situations in incomplete contexts. First, SE-ISI concept reductions preserving positive information, generalized positive information and relation are defined, respectively. Then, the relationships between the three types of SE-ISI concept reduction are analyzed. Moreover, by introducing the SE-ISI representative concept matrix, the methods of obtaining three types of SE-ISI concept reduction are given. Finally, the characteristics and relationships of SE-ISI concepts under three types of SE-ISI concept reduction are discussed from the perspective of SE-ISI representative concept matrix.}
}