Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making

Joint Authors

Selvachandran, Ganeshsree
Salleh, Abdul Razak

Source

International Journal of Mathematics and Mathematical Sciences

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-04-07

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

We propose the theory of possibility intuitionistic fuzzy soft expert 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 De Morgan’s laws are proved.

Lastly, a generalized algorithm is introduced and applied to the concept of possibility intuitionistic fuzzy soft expert sets in hypothetical decision making problem.

American Psychological Association (APA)

Selvachandran, Ganeshsree& Salleh, Abdul Razak. 2015. Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making. International Journal of Mathematics and Mathematical Sciences،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1066194

Modern Language Association (MLA)

Selvachandran, Ganeshsree& Salleh, Abdul Razak. Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making. International Journal of Mathematics and Mathematical Sciences No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1066194

American Medical Association (AMA)

Selvachandran, Ganeshsree& Salleh, Abdul Razak. Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making. International Journal of Mathematics and Mathematical Sciences. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1066194

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1066194