Data Filling Approach of Soft Sets under Incomplete Information
Incomplete information in a soft set restricts the usage of the soft set. To make the incomplete soft set more useful, in this paper, we propose a data filling approach for incomplete soft set in which missing data is filled in terms of the association degree between the parameters when stronger...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2056/1/Data_Filling_Approach_of_Soft_Sets_under_Incomplete_Information.pdf http://umpir.ump.edu.my/id/eprint/2056/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Incomplete information in a soft set restricts the usage of the soft set.
To make the incomplete soft set more useful, in this paper, we propose a data
filling approach for incomplete soft set in which missing data is filled in terms
of the association degree between the parameters when stronger association exists
between the parameters or in terms of the probability of objects appearing
in the mapping sets of parameters when no stronger association exists between
the parameters. An illustrative example is employed to show the feasibility and
validity of our approach in practical applications. |
|---|