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Dr. Paul Augustine  Ejegwa
Dr. Paul Augustine Ejegwa
Federal University of Agriculture, Makurdi
Dirección de correo verificada de uam.edu.ng
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Año
An overview on intuitionistic fuzzy sets
PA Ejegwa, SO Akowe, PM Otene, JM Ikyule
International Journal of Scientific & Technology Research 3 (3), 142-145, 2014
1542014
Distance and similarity measures for Pythagorean fuzzy sets
PA Ejegwa
Granular Computing 5 (2), 225–238, 2020
1492020
Intuitionistic fuzzy set and its application in career determination via normalized Euclidean distance method
PA Ejegwa, AJ Akubo, OM Joshua
European scientific journal 10 (15), 2014
1182014
Pythagorean fuzzy set and its application in career placements based on academic performance using max-min-max composition
PA Ejegwa
Complex and Intelligent Systems 5, 165–175, 2019
1092019
Similarity-Distance Decision-Making Technique and its Applications via Intuitionistic Fuzzy Pairs
PA Ejegwa, JM Agbetayo
Journal of Computational and Cognitive Engineering, https://doi.org/10.47852 …, 2022
932022
Improved composite relation for Pythagorean fuzzy sets and its application to medical diagnosis
PA Ejegwa
Granular Computing 5 (2), 277–286, 2020
902020
Modified Zhang and Xu’s distance measure for Pythagorean fuzzy sets and its application to pattern recognition problems: https://doi.org/10.1007/s00521-019-04554
PA Ejegwa
Neural Computing and Applications 32 (14), 10199–10208, 2020
802020
Intuitionistic fuzzy statistical correlation algorithm with applications to multi-criteria based decision-making processes
PA Ejegwa, IC Onyeke
International Journal of Intelligent Systems 36 (3), 1386–1407, 2021
712021
Novel distance measures for Pythagorean fuzzy sets with applications to pattern recognition problems
PA Ejegwa, JA Awolola
Granular Computing 6, 181-189, 2021
642021
Intuitionistic fuzzy sets in career determination
PA Ejegwa, AJ Akubo, OM Joshua
Journal of Information and Computing Science 9 (4), 285-288, 2014
572014
Novel Pythagorean fuzzy correlation measures via Pythagorean fuzzy deviation, variance and covariance with applications to pattern recognition and career placement
PA Ejegwa, S Wen, Y Feng, W Zhang, N Tang
IEEE Transactions on Fuzzy Systems 30 (6), 1660–1668, 2022
542022
Generalized triparametric correlation coefficient for Pythagorean fuzzy sets with application to MCDM problems
PA Ejegwa
Granular Computing 6 (3), 557–566, 2021
522021
Diagnosis of viral hepatitis using new distance measure of intuitionistic fuzzy sets
PA Ejegwa, ES Modom
Int J Fuzzy Math Arch 8 (1), 1-7, 2015
492015
Novel correlation coefficient for intuitionistic fuzzy sets and its application to multi-criteria decision-making problems
PA Ejegwa
International Journal of Fuzzy System Applications 10 (2), 39-58, 2021
47*2021
An algorithm for an improved intuitionistic fuzzy correlation measure with medical diagnostic application
PA Ejegwa, IC Onyeke, V Adah
Annals of Optimization Theory and Practice 3 (3), DOI:10.22121/AOTP.2020 …, 2020
452020
Enhanced intuitionistic fuzzy similarity operators with applications in emergency management and pattern recognition
PA Ejegwa, S Ahemen
Granular Computing; https://doi.org/10.1007/s41066-022-00334-1, 2022
432022
Improved intuitionistic fuzzy composite relation and its application to medical diagnostic process
PA Ejegwa, BO Onasanya
Note IFS 25 (1), 43-58, 2019
402019
Some modified Pythagorean fuzzy correlation measures with application in determining some selected decision-making problems
PA Ejegwa, V Adah, IC Onyeke
Granular Computing; https://doi.org/10.1007/s41066-021-00272-4, 2021
362021
Some new Pythagorean fuzzy correlation techniques via statistical viewpoint with applications to decision-making problems
PA Ejegwa, S Wen, Y Feng, W Zhang, J Chen
Journal of Intelligent & Fuzzy Systems, 1-13, 2021
362021
A note on some models of intuitionistic fuzzy sets in real life situations
PA Ejegwa, AM Onoja, IT Emmanuel
Journal of Global Research in Mathematical Archives 2 (5), 42-50, 2014
342014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20