Uncertainty measurement based on general relation
Zhi Kong, Liqun Gao, Qingli Wang, Lifu Wang, Li Yang · 2008
In incomplete information system, new information entropy and conditional entropy based on general relation are proposed. The results that the information entropy is extended from the general relation to equivalent relation and tolerance relation are found. Then the conclusion that the conditional entropy based on general relation decreases monotonously as the neighbor operators become finer is obtained. This paper presents some useful exploration about the incomplete information system from information views.