Bio
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.
Educational Journey
Ahmadu Bello University
Ph.D in Mathematics • Mathematics
2018Ahmadu Bello University
M.Sc. in Mathematics • Mathematics
2013Usmanu Danfodiyo University
PGD in Education • Education
2010Experience
University of Agriculture
0 - 0Benue State University
0 - 0Research
Intuitionistic Fuzzy Sets Approach in Appointment of Positions in an Organization via Max-Min-Max Rule
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.
Correspondence between Fuzzy Multisets and Sequences
Although fuzzy multisets or fuzzy bags are very interesting in terms of applications, it is less study or explore by researchers. Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure or framework which expresses the number and the degree of attribution of an element simultaneously. We present a concise note on fuzzy multisets as the fuzzification or extension of multisets and the generalization of fuzzy sets. We showed the correspondence between fuzzy multisets and sequences. The Bolzano-Weierstrass property of fuzzy multisets is proposed and some theorems stated and proved.
Intuitionistic Fuzzy Sets in Career Determination
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.
