An adjustable method for data ranking based on fuzzy soft sets
This work deals with an adjustable approach for ranking objects based on fuzzy soft models. We first generate two preorder relations, thus, two equivalence relations based on the fuzzy soft topology. Then, a method for data ranking is designed according to these binary relations. The connection betw...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Indian Society for Education and Environment
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/43697/1/An%20adjustable%20method%20for%20data%20ranking%20based%20on%20fuzzy%20.pdf |
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author | Khameneh, Azadeh Zahedi Kilicman, Adem Salleh, Abdul Razak |
author_facet | Khameneh, Azadeh Zahedi Kilicman, Adem Salleh, Abdul Razak |
author_sort | Khameneh, Azadeh Zahedi |
collection | UPM |
description | This work deals with an adjustable approach for ranking objects based on fuzzy soft models. We first generate two preorder relations, thus, two equivalence relations based on the fuzzy soft topology. Then, a method for data ranking is designed according to these binary relations. The connection between Separation axioms and such data ranking method is also studied. Finally, an example is provided to illustrate this method for problem of data ranking. |
first_indexed | 2024-03-06T08:56:26Z |
format | Article |
id | upm.eprints-43697 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:56:26Z |
publishDate | 2015 |
publisher | Indian Society for Education and Environment |
record_format | dspace |
spelling | upm.eprints-436972016-08-08T08:52:32Z http://psasir.upm.edu.my/id/eprint/43697/ An adjustable method for data ranking based on fuzzy soft sets Khameneh, Azadeh Zahedi Kilicman, Adem Salleh, Abdul Razak This work deals with an adjustable approach for ranking objects based on fuzzy soft models. We first generate two preorder relations, thus, two equivalence relations based on the fuzzy soft topology. Then, a method for data ranking is designed according to these binary relations. The connection between Separation axioms and such data ranking method is also studied. Finally, an example is provided to illustrate this method for problem of data ranking. Indian Society for Education and Environment 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43697/1/An%20adjustable%20method%20for%20data%20ranking%20based%20on%20fuzzy%20.pdf Khameneh, Azadeh Zahedi and Kilicman, Adem and Salleh, Abdul Razak (2015) An adjustable method for data ranking based on fuzzy soft sets. Indian Journal of Science and Technology, 8 (21). pp. 1-9. ISSN 0974-6846; ESSN: 0974-5645 http://www.indjst.org/index.php/indjst/article/view/72587/60876 10.17485/ijst/2015/v8i21/72587 |
spellingShingle | Khameneh, Azadeh Zahedi Kilicman, Adem Salleh, Abdul Razak An adjustable method for data ranking based on fuzzy soft sets |
title | An adjustable method for data ranking based on fuzzy soft sets |
title_full | An adjustable method for data ranking based on fuzzy soft sets |
title_fullStr | An adjustable method for data ranking based on fuzzy soft sets |
title_full_unstemmed | An adjustable method for data ranking based on fuzzy soft sets |
title_short | An adjustable method for data ranking based on fuzzy soft sets |
title_sort | adjustable method for data ranking based on fuzzy soft sets |
url | http://psasir.upm.edu.my/id/eprint/43697/1/An%20adjustable%20method%20for%20data%20ranking%20based%20on%20fuzzy%20.pdf |
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