Complex multi-fuzzy relation for decision making using uncertain periodic data

Yousef Al-Qudah, Nasruddin Hassan

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We introduce a new type of relations called complex multi-fuzzy relation (CMFR). The novelty of CMFR lies in the ability of complex multi- membership functions to achieve more range of values while handling uncertainty of data that is periodic in nature. The application of complex multi-fuzzy sets is then discussed in determining: the influence of modern methods of education on student performance, and the time required for the former to affect the latter. A comparison between different existing relations and CMFR to show the ascendancy of our proposed CMFR is provided. Thereafter, a few related concepts such as complement, union, intersection and inverse along with several propositions are discussed, followed by the composition of CMFR along with some related theorems. Finally the notions of symmetric, transitive, reflexive, and equivalence complex multi-fuzzy relations are established in our work.

Original languageEnglish
Pages (from-to)2437-2445
Number of pages9
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

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Aptitude
Membership functions
Fuzzy sets
Uncertainty
Decision Making
Education
Decision making
Students
Chemical analysis

Keywords

  • Complex fuzzy set
  • Complex multi-fuzzy relation
  • Complex multi-fuzzy set
  • Decision making
  • Multi-fuzzy set

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Complex multi-fuzzy relation for decision making using uncertain periodic data. / Al-Qudah, Yousef; Hassan, Nasruddin.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 4, 01.01.2018, p. 2437-2445.

Research output: Contribution to journalArticle

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