Generalised fuzzy sets with applications to decision-making problems, Fuzzy algebra, Multigroup theory, Soft computing
71
Scopus Publications
3597
Scholar Citations
32
Scholar h-index
105
Scholar i10-index
Scopus Publications
Novel Q-Rung orthopair fuzzy correlation measure based on spearman’s correlation scheme with application in vehicle selection problem Paul Augustine Ejegwa, Wanzenke Tidoo Daniel, Nasreen Kausar, Nezir Aydin Beni Suef University Journal of Basic and Applied Sciences, 2026 Background Q-rung orthopair fuzzy sets (Q-ROFS) have been widely employed in decision-making problems due to their strong ability to handle uncertainty, indecision, and imprecision. Consequently, several q-rung orthopair fuzzy correlation measures (Q-ROFCM) have been developed and applied in various decision-making contexts. However, many existing correlation measures exhibit inherent limitations, which reduce their effectiveness in addressing practical, real-world problems. Methods In this study, a novel q-rung orthopair fuzzy correlation coefficient (Q-ROFCC) based on Spearman’s correlation scheme is proposed to overcome the shortcomings of existing approaches. The fundamental mathematical properties of the proposed correlation measure are rigorously analyzed to ensure compliance with the standard axioms of correlation coefficients. Furthermore, the proposed method is incorporated into a multi-attribute decision-making (MADM) framework. Results The results demonstrate that the proposed Spearman-based Q-ROFCM technique is reliable, effective, and accurate when compared with existing methods. Its applicability is illustrated through a vehicle selection problem, where the most suitable alternative is identified based on optimal performance and user satisfaction. Comparative analysis confirms the superiority of the proposed approach over Pearson-based Q-ROFCM approaches. Conclusions The proposed Q-ROFCM technique provides a robust and efficient alternative for solving MADM problems under uncertainty. Owing to its improved performance and practical applicability, the method is well suited for real-life decision-making scenarios.
On Jordan-Hölder Theorem under Intuitionistic Fuzzy Groups Paul Augustine Ejegwa, Nasreen Kausar, Tonguc Cagin European Journal of Pure and Applied Mathematics, 2025 The theory of intuitionistic fuzzy groups is an algebraic structure derivable from the utilization of groups in intuitionistic fuzzy sets. Many notions in group theory have been presented in intuitionistic fuzzy group theory. However, concepts like simple group, maximal normal subgroup, normal series, composition series, and the Jordan-Hölder Theorem are open problems in intuitionistic fuzzy group theory. Hence, this paper defines simple intuitionistic fuzzy groups, maximal normal intuitionistic fuzzy subgroups, normal series for intuitionistic fuzzy groups, and composition series for intuitionistic fuzzy groups with illustrations. In addition, the Jordan-Hölder Theorem in intuitionistic fuzzy group theory is verified. It is shown that every intuitionistic fuzzy group of a finite group possesses a composition series, and any two composition series for an intuitionistic fuzzy group of a finite group are equivalent.
Jordan-Hölder Theorem for Multigroups Paul Augustine Ejegwa, Nasreen Kausar, Musa Adeku Ibrahim, Tonguc Cagin European Journal of Pure and Applied Mathematics, 2025 Multigroup theory is the application of multisets to the theory of groups. Many group’s theoretic notions have been studied in multigroup theory, however, the ideas of maximal normal subgroup, simple group, normal series, composition series, and the Jordan-Hölder Theorem are yet to be investigated in multiset context. In this article, we define simple multigroup, maximalnormal submultigroup, normal series for multigroup, and composition series for multigroup with examples. With these concepts, we establish the Jordan-Hölder Theorem in multigroup theory. It is shown that every finite multigroup defined over a finite group has a composition series. In addition, it is established that every finite multigroup defined over a finite group has at least two composition series which are equivalent.
Some New Techniques of Computing Correlation Coefficient between q-Rung Orthopair Fuzzy Sets and their Applications in Multi-Criteria Decision-Making Paul Augustine Ejegwa, Arun Sarkar, Idoko Charles Onyeke Gazi University Journal of Science, 2025 The term q-rung orthopair fuzzy set is an essential variant of fuzzy set with the capacity of tackling fuzziness and imprecision in the decision-making process. A fundamental concept in the decision-making process is the idea of correlation coefficient because of its wide applications. The process of decision-making is complex due to imprecisions, and as such the idea of correlation coefficient has been investigated under q-rung orthopair fuzzy setting. Some authors have constructed some techniques of correlation coefficient under q-rung orthopair fuzzy sets with practical applications. However, these existing techniques are defectives with several drawbacks in terms of precision and alignment with the conditions of correlation coefficient. In this work, two new techniques for estimating correlation coefficient under q-rung orthopair fuzzy sets are presented and theoretically discussed. Moreover, we apply the new techniques of correlation coefficient under q-rung orthopair fuzzy sets in disease diagnosis and employment process by using simulated q-rung orthopair fuzzy data based on multi-criteria decision-making approach and recognition principle. Some comparative analyses are provided to ascertain the benefits of the new techniques of correlation coefficient under q-rung orthopair fuzzy sets over the obtainable techniques with regard to reliability and performance rating.
A New Numerical Method of q-Rung Orthopair Fuzzy Distance Measure for Robotics Selection Analysis PA Ejegwa, CO Nwokoro, B Alechenu Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic … , 2026 2026
A Novel Distance Metric Between Fermatean Fuzzy Sets with Application in Vehicle Selection Process Through the TOPSIS CO Abraham, PA Ejegwa, AD Akwu Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic … , 2026 2026
Systematic Review of the State-of-the-Art Fuzzy Logic Applications in Agriculture: Implications for Smart Agriculture CO Nwokoro, PA Ejegwa, G Ataguba, R Orji Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic … , 2026 2026
On Soluble Intuitionistic Fuzzy Group and Its Properties PA Ejegwa, N Kausar, A Smerat, T Cagin European Journal of Pure and Applied Mathematics 19 (1), 7164-7164 , 2026 2026
Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management K Kumar, SA Bhat, PA Ejegwa, R Bhardwaj De Gruyter , 2026 2026
A novel correlation coefficient between single-valued neutrosophic sets and its use in renewable energy source selection PA Ejegwa, M Kirisci Neutrosophic Computing and Vague Data Analysis, 24 , 2026 2026
A tendency coefficient–driven Pythagorean fuzzy distance approach for selection problems in higher education and medical waste management PA Ejegwa, MT Anum, N Kausar, A Nurgaliyeva, MA Salman Scientific Reports 16, 14751 , 2026 2026
A novel Pythagorean fuzzy similarity method for questionnaire analysis on the use of virtual library resources PA Ejegwa, JO Ejegwa Transactions on Fuzzy Sets and Systems 5 (1), 226–250 , 2026 2026
Novel q rung orthopair fuzzy correlation measure based on Spearman’s correlation scheme with application in vehicle selection problem PA Ejegwa, TD Wanzenke, N Kausar, N Aydin Beni-Suef University Journal of Basic and Applied Sciences 15 (24) , 2026 2026
Some new q-rung orthopair fuzzy distance techniques and their application to medical examination based on decision-making methods PA Ejegwa, MT Anum, N Kausar, B Vrioni Journal of Decisions and Operations Research 10 (3), 547-578 , 2025 2025
A Novel q-Rung Orthopair Fuzzy Distance Metric for Energy Source Selection PA Ejegwa, MT Anum, N Kausar, CO Nwokoro, TA Cagin Journal of Applied Research on Industrial Engineering 12 (3), 429-464 , 2025 2025 Citations: 7
An enhancement of smartphone selection process based on a new 3D Pythagorean fuzzy distance metric via TOPSIS technique CO Abraham, PA Ejegwa, N Kausar, AD Akwu, T Cagin Intelligent Data Analysis, https://doi.org/10.1177/1088467X25138762 , 2025 2025 Citations: 1
An enhanced Pythagorean fuzzy distance measure and its application in healthcare services PA Ejegwa, NW Chiahemba, MT Anum Digital Healthcare Technologies - Innovative Technologies and Changing … , 2025 2025
An enhance vehicle selection problem for an effective transportation system: a logarithmic-based distance measure approaches via q-rung orthopair fuzzy information MT Anum, N Kausar, PA Ejegwa, B Vrioni, E Hoxha E Contemporary Mathematics 6 (5), 6780-6811 , 2025 2025 Citations: 1
A decade of picture fuzzy sets in multi-criteria decision-making: a comprehensive review of trends, gaps, and future directions CO Nwokoro, PA Ejegwa Knowledge and Decision Systems with Applications 1, 145–164 , 2025 2025 Citations: 15
On Jordan-Holder theorem under intuitionistic fuzzy groups PA Ejegwa, N Kausar, T Cagin European Journal of Pure and Applied Mathematics 18 (2), 5908 , 2025 2025 Citations: 2
Jordan-Holder theorem for multigroups PA Ejegwa, N Kausar, MA Ibrahim, T Cagin European Journal of Pure and Applied Mathematics 18 (2), 5889 , 2025 2025 Citations: 1
On intuitionistic fuzzy characteristic and Frattini subgroups PA Ejegwa, AI Isah Notes on Intuitionistic Fuzzy Sets 31 (1), 64–79 , 2025 2025
Decision-Making Process under Uncertain Domain of Pythagorean Fuzzy Sets based on an Enhanced Similarity Operator PA Ejegwa Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis … , 2025 2025
A modified Pythagorean fuzzy similarity operator with application in questionnaire analysis PA Ejegwa Transactions on Fuzzy Sets and Systems 4 (1), 108-128 , 2025 2025 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
Distance and similarity measures for Pythagorean fuzzy sets PA Ejegwa Granular Computing 5 (2), 225–238 , 2020 2020 Citations: 182
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 2014 Citations: 181
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 2019 Citations: 134
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 2014 Citations: 127
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 2022 Citations: 121
Improved composite relation for Pythagorean fuzzy sets and its application to medical diagnosis PA Ejegwa Granular Computing 5 (2), 277–286 , 2020 2020 Citations: 98
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 2020 Citations: 92
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 2021 Citations: 83
Novel distance measures for Pythagorean fuzzy sets with applications to pattern recognition problems PA Ejegwa, JA Awolola Granular Computing 6, 181-189 , 2021 2021 Citations: 80
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 2022 Citations: 63
Intuitionistic fuzzy sets in career determination PA Ejegwa, AJ Akubo, OM Joshua Journal of Information and Computing Science 9 (4), 285-288 , 2014 2014 Citations: 59
Generalized triparametric correlation coefficient for Pythagorean fuzzy sets with application to MCDM problems PA Ejegwa Granular Computing 6 (3), 557–566 , 2021 2021 Citations: 55
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 2020 Citations: 55
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 2021 Citations: 54
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 2015 Citations: 51
New Pythagorean fuzzy-based distance operators and their applications in pattern classification and disease diagnostic analysis PA Ejegwa, Y Feng, S Tang, JM Agbetayo, X Dai Neural Computing and Applications; https://doi.org/10.1007/s00521-022-07679-3 , 2022 2022 Citations: 50
Generalized similarity operator for intuitionistic fuzzy sets and its applications based on recognition principle and multiple criteria decision making technique Y Zhou, PA Ejegwa, SE Johnny International Journal of Computational Intelligence Systems 16 (85) , 2023 2023 Citations: 49
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 2022 Citations: 48
New similarity measures for Pythagorean fuzzy sets with applications PA Ejegwa International Journal of Fuzzy Computation and Modelling 3 (1), 75-94 , 2020 2020 Citations: 45
Fermatean Fuzzy Modified Composite Relation and its Application in Pattern Recognition PA Ejegwa, D Zuakwagh Journal of Fuzzy Extension and Applications 3 (2), 140–151 , 2022 2022 Citations: 40