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Multiple criteria preference relation by dominance relations in soft set theory

This paper presents the applicability of soft set theory for discovering the preference relation in multi-valued information systems. The proposed approach is based on the notion of multi-soft sets. An inclusion of objects into value set of decision class in soft set theory is used to discover the r...

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Main Authors: Mohd Isa, Awang, Ahmad Nazari, Mohd Rose, Mohd Khalid, Awang, Fadhilah, Ahmad
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://eprints.unisza.edu.my/1690/1/FH03-FIK-17-08101.jpg
http://eprints.unisza.edu.my/1690/
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spelling my-unisza-ir.16902020-11-19T07:49:15Z http://eprints.unisza.edu.my/1690/ Multiple criteria preference relation by dominance relations in soft set theory Mohd Isa, Awang Ahmad Nazari, Mohd Rose Mohd Khalid, Awang Fadhilah, Ahmad QA75 Electronic computers. Computer science QA76 Computer software This paper presents the applicability of soft set theory for discovering the preference relation in multi-valued information systems. The proposed approach is based on the notion of multi-soft sets. An inclusion of objects into value set of decision class in soft set theory is used to discover the relation between objects based on preference relation. Results from the experiment shows that dominance relation based on soft theory for preference relation is able to produce a finer object classification by eliminating inconsistencies during classification process as opposed to the expert judgement classification. 2017 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1690/1/FH03-FIK-17-08101.jpg Mohd Isa, Awang and Ahmad Nazari, Mohd Rose and Mohd Khalid, Awang and Fadhilah, Ahmad (2017) Multiple criteria preference relation by dominance relations in soft set theory. In: The 2nd International Conference on Soft Computing and Data Mining, SCDM-2016, 18-20 August 2016, Bandung; Indonesia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Mohd Isa, Awang
Ahmad Nazari, Mohd Rose
Mohd Khalid, Awang
Fadhilah, Ahmad
Multiple criteria preference relation by dominance relations in soft set theory
description This paper presents the applicability of soft set theory for discovering the preference relation in multi-valued information systems. The proposed approach is based on the notion of multi-soft sets. An inclusion of objects into value set of decision class in soft set theory is used to discover the relation between objects based on preference relation. Results from the experiment shows that dominance relation based on soft theory for preference relation is able to produce a finer object classification by eliminating inconsistencies during classification process as opposed to the expert judgement classification.
format Conference or Workshop Item
author Mohd Isa, Awang
Ahmad Nazari, Mohd Rose
Mohd Khalid, Awang
Fadhilah, Ahmad
author_facet Mohd Isa, Awang
Ahmad Nazari, Mohd Rose
Mohd Khalid, Awang
Fadhilah, Ahmad
author_sort Mohd Isa, Awang
title Multiple criteria preference relation by dominance relations in soft set theory
title_short Multiple criteria preference relation by dominance relations in soft set theory
title_full Multiple criteria preference relation by dominance relations in soft set theory
title_fullStr Multiple criteria preference relation by dominance relations in soft set theory
title_full_unstemmed Multiple criteria preference relation by dominance relations in soft set theory
title_sort multiple criteria preference relation by dominance relations in soft set theory
publishDate 2017
url http://eprints.unisza.edu.my/1690/1/FH03-FIK-17-08101.jpg
http://eprints.unisza.edu.my/1690/
_version_ 1684657737883975680
score 13.211869

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