Title :
Granular computing for inconsistent decision table
Author_Institution :
Dept. of Inf. Eng., NanChang Inst. of Technol., Nanchang, China
Abstract :
This paper defines some basic concepts. Then, this paper introduces how to convert any decision table into certain granular graph. We give visual presentation of decision table. Some relevant knowledge of graph theory is applied to granular graph and its computing for the inconsistent decision table. It is feasible and effective when granular graph is applied in describing data reduction of inconsistent decision tables. The method is simple and has visual characteristics. The paper mainly proposes a visual method for the inconsistent decision tables and describes its data reduction procedure.
Keywords :
data reduction; decision tables; granular computing; graph theory; rough set theory; data reduction; granular computing; granular graph theory; inconsistent decision tables; visual characteristics; visual presentation; Conferences; Electronic mail; Finite element analysis; Graph theory; Information systems; Joining processes; Visualization; granular graph; inconsistent decision table; visual presentation;
Conference_Titel :
Granular Computing (GrC), 2013 IEEE International Conference on
Conference_Location :
Beijing
DOI :
10.1109/GrC.2013.6740393