An Adjustable Method for Data Ranking based on Fuzzy Soft Sets

Azadeh Zahedi Khameneh; Adem Kilismant; Abdul Razak Salleh

doi:10.17485/ijst/2015/v8i21/115132

An Adjustable Method for Data Ranking based on Fuzzy Soft Sets

Azadeh Zahedi Khameneh ¹, Adem Kilismant ², Abdul Razak Salleh ³

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

Abstract
References
Article Metrics
Refbacks

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.