Fuzzy parameterized intuitionistic fuzzy soft expert set theory and its application in decision making

Ganeshsree Selvachandran, Abdul Razak Salleh

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this study, we propose the theory of fuzzy parameterized intuitionistic fuzzy soft expert set theory and define some related concepts pertaining to this notion as well as the basic operations on this concept, namely the complement, union, intersection AND and OR. The basic properties and relevant laws pertaining to this concept such as the De Morgan's laws are proved. Lastly, a generalized algorithm is introduced and applied to the proposed concept of fuzzy parameterized intuitionistic fuzzy soft expert sets in a hypothetical decision making problem.

Original languageEnglish
Pages (from-to)52-63
Number of pages12
JournalInternational Journal of Soft Computing
Volume11
Issue number2
DOIs
Publication statusPublished - 2016

Fingerprint

Set Theory
Set theory
Decision making
Decision Making
De Morgan's laws
Union
Complement
Intersection
Concepts

Keywords

  • Fuzzy parameterized intuitionistic fuzzy soft expert set
  • Fuzzy parameterized soft expert set
  • Fuzzy soft expert set
  • Soft expert set
  • Soft set

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Modelling and Simulation

Cite this

Fuzzy parameterized intuitionistic fuzzy soft expert set theory and its application in decision making. / Selvachandran, Ganeshsree; Salleh, Abdul Razak.

In: International Journal of Soft Computing, Vol. 11, No. 2, 2016, p. 52-63.

Research output: Contribution to journalArticle

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