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

Authors

  • P. A. Ejegwa

appointments, fuzzy sets, intuitionistic fuzzy sets, max-min-max rule, organisation

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.

How to Cite

Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule. (2015). Global Journal of Science Frontier Research, 15(28), 1-5. https://journalofscience.org/index.php/GJSFR/article/view/

Author Biography

P. A. Ejegwa

Paul Augustine Ejegwa is a distinguished academic and researcher in the field of mathematics, with a particular focus on fuzzy set theory and its applications. He is affiliated with the University of Agriculture in Makurdi, Nigeria, where he serves as a lecturer in the Department of Mathematics/Statistics/Computer Science. Dr. Ejegwa holds a Ph.D. in Mathematics from Ahmadu Bello University (2018), an M.Sc. in Mathematics from the same institution (2013), a PGD in Education from Usmanu Danfodiyo University (2010), and a B.Sc. (Hons) in Mathematics and Computer Science from Benue State University (2008). His research interests include intuitionistic fuzzy sets, fuzzy multisets, and their applications in decision-making, career determination, and medical diagnosis. With over 100 publications and nearly 1,800 citations, Dr. Ejegwa has made significant contributions to the advancement of fuzzy mathematics. His work has been recognized with an h-index of 22 and an i10-index of 46, reflecting his impact in the field. He is also a fellow of various academic organizations and continues to mentor students and collaborate with researchers worldwide.

References

K Atanassov (1983) Intuitionistic fuzzy sets, VII ITKR's Session.

Krassimir Atanassov (1999) Open Problems in Intuitionistic Fuzzy Sets Theory. 289-291.

T Chaira (2011) Intuitionistic fuzzy set theory in medical imaging. 1, 35-37.

Supriya De, Ranjit Biswas, Akhil Roy (2001) An application of intuitionistic fuzzy sets in medical diagnosis. 117(2), 209-213.

P Ejegwa, S Akowe, P Otene, J Ikyule (2014) An overview on intuitionistic fuzzy sets. 3(3), 142-145.

Paul Ejegwa, Ahmed Isah (2014) On intuitionistic fuzzy characteristic and Frattini subgroups. 31(1), 64-79.

Paul Ejegwa (2014) An improved correlation coefficient between intuitionistic fuzzy sets and its applications to real-life decision-making problems. 26(2), 1-14.

P Ejegwa (2015) Intuitionistic fuzzy sets theory in decision making.

P Ejegwa, J Alabaa (2014) On the Correspondence between intuitionistic fuzzy sets and democracy. 5(2), 71-73.

P Ejegwa, J Alabaa, S Yakubu (2014) Two new algebraic properties defined over intuitionistic fuzzy sets. 5(2), 75-78.

P Ejegwa, S Chukwukelu, D Odoh (2014) Distance Measures of Intuitionistic Fuzzy Sets and its Application to Cancer Diagnosis. 2(5), 55-60.

P Ejegwa, E Modom (2015) Diagnosis of viral hepatitis using new distance measure of intuitionistic fuzzy sets. 8(1), 1-7.

A Ibrahim, P Ejegwa (2013) Remark on some operations of intuitionistic fuzzy sets. 2(1), 94-96.

D Li, C Cheng (2002) New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions. 23, 221-225.

Eulalia Szmidt, Janusz Kacprzyk (2001) Intuitionistic Fuzzy Sets in Some Medical Applications. 7, 148-151.

E Szmidt, J Kacprzyk (2004) Medical diagnostic reasoning using a similarity measure for intuitionistic fuzzy sets. 10(4), 61-69.

Lei Wen, L Xu, R Wang (2013) Sustainable Supplier Evaluation Based on Intuitionistic Fuzzy Sets Group Decision Methods. 10(10), 3209-3220.

L Zadeh (1965) Fuzzy sets. 8(3), 338-353.

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

Published

2015-07-14

How to Cite

Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule. (2015). Global Journal of Science Frontier Research, 15(28), 1-5. https://journalofscience.org/index.php/GJSFR/article/view/