Intuitionistic Fuzzy Sets in Career Determination

P. A. EJEGWA

Authors

P. A. EJEGWA

fuzzy sets, intuitionistic fuzzy sets, career choice, career determination

Abstract

Intuitionistic fuzzy set has proven interesting and useful in providing a flexible framework or model to elaborate uncertainty and vagueness involved in decision making. In this paper, we proposed the application of intuitionistic fuzzy sets (IFS) in career determination. Solution is obtained by looking for the smallest distance between each student and each career.

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How to Cite

Intuitionistic Fuzzy Sets in Career Determination. (2014). Global Journal of Science Frontier Research, 14(18), 85-89. https://journalofscience.org/index.php/GJSFR/article/view/

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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, Sofia, 1983.

Krassimir Atanassov (1986) Intuitionistic fuzzy sets. 20(1), 87-96. https://doi.org/10.1016/s0165-0114(86)80034-3

Krassimir Atanassov (1994) New operations defined over the intuitionistic fuzzy sets. 61(2), 137-142. https://doi.org/10.1016/0165-0114(94)90229-1

(1999) Intuitionistic fuzzy sets: theory and application.

K. Atanassov, Springer On Intuitionistic fuzzy sets (2012) On Intuitionistic fuzzy sets.

Supriya De, Ranjit Biswas, Akhil Roy (2001) An application of intuitionistic fuzzy sets in medical diagnosis. 117(2), 209-213. https://doi.org/10.1016/s0165-0114(98)00235-8

T. Shinoj, J. Sunil (2012) Intuitionistic Fuzzy multisets and its application in medical diagnosis. 6, 34-38.

E. Szmidt, J. Kacprzyk On measuring distances between intuitionistic fuzzy Sets, Notes on.

Eulalia Szmidt, Janusz Kacprzyk (2000) Distances between intuitionistic fuzzy Sets, Fuzzy Sets and Systems. 114(3), 505-518. https://doi.org/10.1016/s0165-0114(98)00244-9

E. Szmidt, J. Kacprzyk Intuitionistic fuzzy sets in some medical applications, Note on IFS.

E. Szmidt, J. Kacprzyk Medical diagnostic reasoning using a similarity measure for.