Title :
Two Rough Approximations for Information Tables Containing Missing Values
Author :
Nakata, Michinori ; Sakai, Hiroshi
Author_Institution :
Josai Int. Univ., Togane, Japan
Abstract :
A method of possible equivalence classes was developed to deal with missing values. To deal with imprecision of rough approximations that comes from missing values, the concepts of certainty and possibility were used. When an information table contains the missing values, two rough approximations, certain and possible ones, are obtained. The actual rough approximation is located between the certain and possible rough approximations. The method gives the same results as a method of possible worlds. This is a justification of the method of possible equivalence classes.
Keywords :
approximation theory; equivalence classes; knowledge representation; rough set theory; equivalence classes; information tables; rough approximations; Accuracy; Aggregates; Approximation methods; Conferences; Databases; Lattices; Rough sets; Incomplete information; Missing values; Possible equivalence classes; Rough approximations; Rough sets;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.139