Hybrid Framework Parameterization Reduction Combination in Soft Set
Voluminous data are available in soft sets,which makes itdifficult to recognize the soft set decisions of the data.The large increase in the volume of these soft set has made it necessary to enlarge the size of the storage media to store the data. Consequently,several researches have proposeds o...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/14336/ http://umpir.ump.edu.my/14336/1/fskkp-2015-taheir-Hybrid%20Framework%20Parameterization%20Reduction%20.pdf http://umpir.ump.edu.my/14336/7/fskkp-2015-taheir-Hybrid%20Framework%20Parameterization%20Reduction1.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Voluminous data are available in soft sets,which makes itdifficult
to recognize the soft set decisions of the data.The large increase in the
volume of these soft set has made it necessary to enlarge the size of the
storage media to store the data. Consequently,several researches have
proposeds oft set reduction of the data. This paper proposes uncertain soft
set by hybridizing two soft set reduction techniques producing a significant
result without affecting the decisive characteristics of the data. This
proposed method utilizes advanced techniques to govern knowledge with
proper reduction of related resources that can assist the decision making
process. |
|---|