Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule

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P. A. Ejegwa
P. A. Ejegwa
α UNIVERSITY OF AGRICULTURE, P.M.B. 2373, MAKURDI-NIGERIA

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Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule

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Abstract

From the myriads of research on the applications of intuitionistic fuzzy sets theory in decision making, one can easy say that intuitionistic fuzzy sets theory is of great importance in decision science due to its efficiency and reliability. Here, we proposed a new area of application of intuitionistic fuzzy sets theory in appointment of positions in an organisation using intuitionistic fuzzy sets approach via max-min-max rule.

References

20 Cites in Article
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

P. A. Ejegwa. 2015. \u201cIntuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 15 (GJSFR Volume 15 Issue F6): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords
Classification
GJSFR-F Classification: MSC 2010: 03E72
Version of record

v1.2

Issue date

August 8, 2015

Language
en
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From the myriads of research on the applications of intuitionistic fuzzy sets theory in decision making, one can easy say that intuitionistic fuzzy sets theory is of great importance in decision science due to its efficiency and reliability. Here, we proposed a new area of application of intuitionistic fuzzy sets theory in appointment of positions in an organisation using intuitionistic fuzzy sets approach via max-min-max rule.

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Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule

P. A. Ejegwa
P. A. Ejegwa UNIVERSITY OF AGRICULTURE, P.M.B. 2373, MAKURDI-NIGERIA

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