Soniya Gupta - Fuzzy Set Theory - Best Researcher Award🏆
DIT University Dehradun - India
Professional Profiles:
Early Academic Pursuits :
She commenced her academic journey with a Bachelor of Science in Physics, Chemistry, and Mathematics from Choudhary Charan Singh University, Meerut, U.P., India, graduating with distinction in 2017. Her foundational education laid the groundwork for her subsequent scholarly pursuits.
Professional Endeavors :
Embarking on her quest for advanced learning, she pursued a Master of Science in Applied Mathematics, securing a first division with an impressive 73.75% from Choudhary Charan Singh University in 2019. This period fostered her passion for mathematical applications and honed her analytical prowess.
Contributions and Research Focus in Fuzzy Set Theory :
Her intellectual journey took a significant leap forward as she pursued a Ph.D. in Applied Mathematics from the prestigious Dehradun Institute of Technology under the guidance of Dr. Dheeraj Joshi, an esteemed Assistant Professor in the Department of Mathematics. Her doctoral research delved into the nuanced domain of "Study of fuzzy set theory in the linguistic and probabilistic environment." Her exploration in this area contributed valuable insights into enhancing the understanding of fuzzy set theory, bridging the gap between linguistic and probabilistic realms.
Accolades and Recognition :
Throughout her academic tenure, Her commitment to scholarly excellence and her knack for innovative research methodologies garnered recognition. Her contributions were acknowledged with accolades, meritorious mentions, and possibly publications in esteemed academic journals or conferences, showcasing her dedication and scholarly rigor.
Impact and Influence :
Her work holds promise for addressing practical challenges in various fields by leveraging the applications of fuzzy set theory. Her research has the potential to influence decision-making processes, pattern recognition systems, and artificial intelligence algorithms, contributing to more effective and nuanced solutions in diverse industries.
Legacy and Future Contributions :
As she concludes her doctoral studies, Her legacy lies in her groundbreaking research that redefined the applications of fuzzy set theory. Her future contributions are anticipated to further enrich the academic community, potentially through teaching, continued research, and collaborative endeavors aimed at pushing the boundaries of mathematical applications in solving real-world problems.
Notable Publications :
- Distance and Similarity measures of Hesitant bi-fuzzy set and its applications in Renewable Energy Systems
- Distance and Similarity Measures of Hesitant Bi-Fuzzy Set and Its Applications in Pattern Recognition Problem
- TOPSIS Method for Decision Making Problems Under Interval-valued Intuitionistic Fuzzy Environment with Completely Unknown Weight Information