Generating Simply Approximation Spaces by Using Decision Tables
Mohamed El Sayed · Journal of Computational and Theoretical Nanoscience · 2016
The proposed from this paper is view the elimination of the attributes (columns) and the duplicate rows and removing superfluous of attributes values. We obtain the incomplete decision table which is different from the decision table and this table contains the necessary values to make decisions, and also in this paper we introduce new method to generate topology from decision table the degree of dependency between condition attributes and the decision attribute, reduction based on simply open sets. And also we introduce new concept namely, minimal simply open sets, and simply open sets. Also we introduce simply approximation space.