Fuzzy parameterised single valued neutrosophic soft expert set theory and its application in decision making

Ashraf Al-Quran, Nasruddin Hassan

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

In this paper, we propose the theory of fuzzy parameterised single valued neutrosophic soft expert set by giving an importance degree for each element in the set of parameters and define some related concepts pertaining to this notion as well as the basic operations of complement, subset, union, intersection, AND and OR along with illustrative examples. The basic properties and relevant laws pertaining to this concept such as the De Morgan's laws are proved. A comparison between our proposed method and other methods is made to illustrate the advantages of our proposed method and its ability to handle problems involving imprecise, indeterminacy and inconsistent data, which makes it more accurate and realistic than other methods. Lastly, this concept is applied to a decision making problem and its effectiveness is demonstrated using an illustrative example.

Original languageEnglish
Pages (from-to)212-227
Number of pages16
JournalInternational Journal of Applied Decision Sciences
Volume9
Issue number2
DOIs
Publication statusPublished - 2016

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Decision making
Indeterminacy

Keywords

  • Fuzzy parameterised soft expert set
  • Single valued neutrosophic set
  • Single valued neutrosophic soft expert set
  • Soft expert set

ASJC Scopus subject areas

  • Economics and Econometrics
  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

Fuzzy parameterised single valued neutrosophic soft expert set theory and its application in decision making. / Al-Quran, Ashraf; Hassan, Nasruddin.

In: International Journal of Applied Decision Sciences, Vol. 9, No. 2, 2016, p. 212-227.

Research output: Contribution to journalArticle

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