DocumentCode
2150935
Title
Two Rough Approximations for Information Tables Containing Missing Values
Author
Nakata, Michinori ; Sakai, Hiroshi
Author_Institution
Josai Int. Univ., Togane, Japan
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
363
Lastpage
368
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.139
Filename
5576291
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