Ibtesam Alshammari

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About

Ibtesam Alshammari is a researcher advancing the frontiers of fuzzy decision-making and mathematical modeling, with a primary focus on linear Diophantine fuzzy soft sets (LDFSSs) and their applications in multi-criteria decision-making (MCDM). Her most cited work, "New MCDM Algorithms with Linear Diophantine Fuzzy Soft TOPSIS, VIKOR and Aggregation Operators" (2022, 18 citations), introduces innovative algorithms that extend classical MCDM methods—TOPSIS and VIKOR—into the realm of LDFSSs. In this paper, she not only defines the algebraic structure and operations of LDFSSs but also demonstrates their practical utility through real-world examples and statistical illustrations, enabling more nuanced handling of linguistic and uncertain information. Her contributions provide a robust framework for tackling complex decision problems where traditional fuzzy sets fall short, making her work valuable for researchers in operations research, artificial intelligence, and applied mathematics. Alshammari’s research stands out for its blend of theoretical rigor and applied relevance, offering tools that enhance the precision and flexibility of decision analysis. Her ongoing work continues to shape the development of soft computing methodologies, with potential impacts across engineering, economics, and data science.