A review on soft set-based parameter reduction and decision making
Many real world decision making problems often involve uncertainty data, which mainly originating from incomplete data and imprecise decision. The soft set theory as a mathematical tool that deals with uncertainty, imprecise, and vagueness is often employed in solving decision making problem. It has...
Main Authors: | Danjuma, Sani, Herawan, Tutut, Ismail, Maizatul Akmar, Chiroma, Haruna, Abubakar, Adamu, Zeki, Akram M. |
---|---|
Format: | Article |
Language: | English English English |
Published: |
IEEE
2017
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/56724/ http://irep.iium.edu.my/56724/ http://irep.iium.edu.my/56724/ http://irep.iium.edu.my/56724/1/SoftSet.pdf http://irep.iium.edu.my/56724/7/56724_A%20review%20on%20soft%20set-based%20parameter%20reduction_SCOPUS.pdf http://irep.iium.edu.my/56724/13/56724_A%20review%20on%20soft%20set-based%20parameter%20reduction_WOS.pdf |
Similar Items
-
Soft computing approach for predicting OPEC countries’ oil consumption
by: Chiroma, Haruna, et al.
Published: (2017) -
Utilising key climate element variability for the
prediction of future climate change using a support
vector machine model
by: Abubakar, Adamu, et al.
Published: (2016) -
Optimization of neural network using cuckoo search for the classification of diabetes
by: Abubakar, Adamu, et al.
Published: (2015) -
A framework for non-contact ECG signal detection device on smart chair and its implementation
by: Waili, Tuerxun, et al.
Published: (2019) -
A novel algorithm to detect a QPSK signal with the minimum number of samples
by: Mohammed, Saleh, et al.
Published: (2015)