An Adjustable Method for Data Ranking based on Fuzzy Soft Sets

Azadeh Zahedi Khameneh; Adem Kilicman  and Abdul Razak Salleh

doi:10.17485/ijst/2015/v8i21/72587

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An Adjustable Method for Data Ranking based on Fuzzy Soft Sets

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i21/72587

Year: 2015, Volume: 8, Issue: 21, Pages: 1-9

Original Article

An Adjustable Method for Data Ranking based on Fuzzy Soft Sets

Azadeh Zahedi Khameneh¹ , Adem Kilicman² and Abdul Razak Salleh^3*

¹Institute for Mathematical Research, Universiti Putra Malaysia, UPM, Serdang - 43400, Selangor D. E., Malaysia; [email protected]
² Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, UPM, Serdang - 43400, Selangor D.E., Malaysia; [email protected]
³ School of Mathematical Sciences, Universiti Kebangsaan Malaysia, UKM, Bangi - 43600, Selangor D.E., Malaysia; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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.
Keywords: Decision Making, Fuzzy Soft Product Topology, Fuzzy Soft Subspace, Fuzzy Soft Topology, Preorder Relation