An adjustable method for data ranking based on fuzzy soft sets

Azadeh Zahedi Khameneh, Adem Kilicman, Abdul Razak Salleh

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Article number72587
JournalIndian Journal of Science and Technology
Volume8
Issue number21
DOIs
Publication statusPublished - 2015

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Topology

Keywords

  • Decision making
  • Fuzzy soft product topology
  • Fuzzy soft subspace
  • Fuzzy soft topology
  • Preorder relation

ASJC Scopus subject areas

  • General

Cite this

An adjustable method for data ranking based on fuzzy soft sets. / Khameneh, Azadeh Zahedi; Kilicman, Adem; Salleh, Abdul Razak.

In: Indian Journal of Science and Technology, Vol. 8, No. 21, 72587, 2015.

Research output: Contribution to journalArticle

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