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...

Full description

Bibliographic Details
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
id iium-56724
recordtype eprints
spelling iium-567242018-03-15T01:27:44Z http://irep.iium.edu.my/56724/ A review on soft set-based parameter reduction and decision making Danjuma, Sani Herawan, Tutut Ismail, Maizatul Akmar Chiroma, Haruna Abubakar, Adamu Zeki, Akram M. Q350 Information theory 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 been widely used to identify irrelevant parameters and make reduction set of parameters for decision making in order to bring out the optimal choices. In this paper, we present a review on different parameter reduction and decision making techniques for soft set and hybrid soft sets under unpleasant set of hypothesis environment as well as performance analysis of the their derived algorithms. The review has summarized this paper in those areas of research, pointed out the limitations of previous works and areas that require further research works. Researchers can use our review to quickly identify areas that received diminutive or no attention from researchers so as to propose novel methods and applications. IEEE 2017-03-14 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56724/1/SoftSet.pdf application/pdf en http://irep.iium.edu.my/56724/7/56724_A%20review%20on%20soft%20set-based%20parameter%20reduction_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/56724/13/56724_A%20review%20on%20soft%20set-based%20parameter%20reduction_WOS.pdf Danjuma, Sani and Herawan, Tutut and Ismail, Maizatul Akmar and Chiroma, Haruna and Abubakar, Adamu and Zeki, Akram M. (2017) A review on soft set-based parameter reduction and decision making. IEEE ACCESS, 5. pp. 4671-4689. ISSN 2169-3536 http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 10.1109/ACCESS.2017.2682231
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
topic Q350 Information theory
spellingShingle Q350 Information theory
Danjuma, Sani
Herawan, Tutut
Ismail, Maizatul Akmar
Chiroma, Haruna
Abubakar, Adamu
Zeki, Akram M.
A review on soft set-based parameter reduction and decision making
description 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 been widely used to identify irrelevant parameters and make reduction set of parameters for decision making in order to bring out the optimal choices. In this paper, we present a review on different parameter reduction and decision making techniques for soft set and hybrid soft sets under unpleasant set of hypothesis environment as well as performance analysis of the their derived algorithms. The review has summarized this paper in those areas of research, pointed out the limitations of previous works and areas that require further research works. Researchers can use our review to quickly identify areas that received diminutive or no attention from researchers so as to propose novel methods and applications.
format Article
author Danjuma, Sani
Herawan, Tutut
Ismail, Maizatul Akmar
Chiroma, Haruna
Abubakar, Adamu
Zeki, Akram M.
author_facet Danjuma, Sani
Herawan, Tutut
Ismail, Maizatul Akmar
Chiroma, Haruna
Abubakar, Adamu
Zeki, Akram M.
author_sort Danjuma, Sani
title A review on soft set-based parameter reduction and decision making
title_short A review on soft set-based parameter reduction and decision making
title_full A review on soft set-based parameter reduction and decision making
title_fullStr A review on soft set-based parameter reduction and decision making
title_full_unstemmed A review on soft set-based parameter reduction and decision making
title_sort review on soft set-based parameter reduction and decision making
publisher IEEE
publishDate 2017
url 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
first_indexed 2023-09-18T21:20:05Z
last_indexed 2023-09-18T21:20:05Z
_version_ 1777411823458320384