Neutrosophic vague soft expert set theory

Ashraf Al-Quran, Nasruddin Hassan

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

In this paper, we first introduce the concept of neutrosophic vague soft expert sets (NVSESs for short) which combines neutrosophic vague sets and soft expert sets to be more effective and useful. We also define its basic operations, namely complement, union, intersection, AND and OR along with illustrative examples, and study some related properties with supporting proofs. Lastly, this concept is applied to a decision making problem and its effectiveness is demonstrated using a hypothetical example.

Original languageEnglish
Pages (from-to)3691-3702
Number of pages12
JournalJournal of Intelligent and Fuzzy Systems
Volume30
Issue number6
DOIs
Publication statusPublished - 30 Apr 2016

Fingerprint

Set Theory
Set theory
Decision making
Vague Set
Union
Complement
Intersection
Decision Making
Concepts

Keywords

  • Neutrosophic soft expert set
  • neutrosophic vague set
  • neutrosophic vague soft set
  • soft expert set

ASJC Scopus subject areas

  • Artificial Intelligence
  • Engineering(all)
  • Statistics and Probability

Cite this

Neutrosophic vague soft expert set theory. / Al-Quran, Ashraf; Hassan, Nasruddin.

In: Journal of Intelligent and Fuzzy Systems, Vol. 30, No. 6, 30.04.2016, p. 3691-3702.

Research output: Contribution to journalArticle

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