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...

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Main Authors: Khameneh, Azadeh Zahedi, Kilicman, Adem, Salleh, Abdul Razak
Format: Article
Language:English
Published: Indian Society for Education and Environment 2015
Online Access:http://psasir.upm.edu.my/id/eprint/43697/
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
building UPM Institutional Repository
collection Online Access
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.
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institution Universiti Putra Malaysia
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language English
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publisher Indian Society for Education and Environment
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spelling upm-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/
http://psasir.upm.edu.my/id/eprint/43697/
http://psasir.upm.edu.my/id/eprint/43697/
http://psasir.upm.edu.my/id/eprint/43697/1/An%20adjustable%20method%20for%20data%20ranking%20based%20on%20fuzzy%20.pdf