Faiza Wasim
Papers
1
Total Citations
11
H-Index
1
About
Dr. Faiza Wasim is a leading figure in the advancement of fuzzy set theory and multi-criteria decision-making (MCDM), with a particular focus on developing sophisticated mathematical frameworks to handle complex, uncertain information. Her most cited work introduces the groundbreaking **complex Pythagorean fuzzy N-soft VIKOR (CPFNS-VIKOR) method**, a novel optimization technique that masterfully captures linguistic imprecision and vagueness inherent in human judgment. This contribution, which has garnered **11 citations**, significantly extends the capabilities of traditional fuzzy models by integrating phase terms and N-soft sets, allowing for a more nuanced representation of data in real-world scenarios. Dr. Wasim’s research is pivotal for fields requiring robust decision support, such as engineering design, supply chain management, and artificial intelligence. Her work stands out for its theoretical depth and practical applicability, establishing her as an innovator in computational intelligence and a key contributor to the evolution of soft computing methodologies.
Research Focus
Key Achievements
Top Papers
- 1