Fathima Banu · Fuzzy MCDM Lab
Fathima Banu Profile

Multi‑Criteria Decision Making with Fuzzy Intelligence

Fathima Banu — Advanced aggregation operators · q‑rung picture fuzzy sets · AI for solid waste segregation & sustainable systems

🔬 Research Profile

Fathima Banu is a researcher in Fuzzy Logic, Multi-Criteria Decision-Making (MCDM), and AI-driven systems. Her work focuses on complex q-rung picture fuzzy sets, Frank/Yager/Aczel-Alsina/Sugeno-Weber aggregation operators, and real-world applications including solid waste segregation, healthcare waste management, greenhouse gas reduction, water resource management, and sustainable urban resilience.

She collaborates with researchers from India, Turkey, China, Pakistan, and Serbia. Her recent publications appear in Engineering Applications of Artificial Intelligence (Impact Factor 7.5+), Spectrum of Operational Research, and Computational and Applied Mathematics.

📊 Citation Metrics & Publications

📑 Publications
11
📖 Citations
120
📈 h-index
6
📊 i10-index
4

📚 Complete Publication List with DOI Links

#TitleJournalVol(issue)YearCitationsDOI
1Evaluation of Artificial Intelligence-Based Solid Waste Segregation Technologies through Multi-Criteria Decision-Making and complex q-rung picture fuzzy Frank aggregation operatorsEngineering Applications of AI133, 10815420243010.1016/j.engappai.2024.108154
2Power and Energy Transformation: Multi-Criteria Decision-Making Utilizing Complex q-Rung Picture Fuzzy Generalized Power Prioritized Yager OperatorsSpectrum of Operational Research2(1), 219-25820252510.31181/sor21252219
3Sustainable Urban Innovation and Resilience: Artificial Intelligence and q-Rung Orthopair Fuzzy ExpoLogarithmic FrameworkSpectrum of Decision Making and Applications2(1), 242-26720252110.31181/sdma2125242
4Exploring pharmacological therapies through complex q-rung picture fuzzy Aczel–Alsina prioritized ordered operators in adverse drug reaction analysisEngineering Applications of AI133, 10799620242010.1016/j.engappai.2024.107996
5m-Polar N-soft set and its application in multi-criteria decision-makingComputational and Applied Mathematics44(2), 642025910.1007/s40314-024-02964-2
6Navigating Decision Making with Generalized Temporal Intuitionistic Fuzzy Sets and Soft SetsPunjab University Journal of Mathematics56(5)2024910.52280/pujm.2024.560501
7Advancing greenhouse gas emission reduction strategies: Integrating Multi-Criteria Decision-Making with Complex q-Rung Picture Fuzzy Sugeno–Weber OperatorsEngineering Applications of AI151, 1106212025410.1016/j.engappai.2025.110621
8Complex T-Spherical Fuzzy Yager prioritized weighted aggregation for prioritizing waste management strategies: A case study from DelhiEngineering Applications of AI162, 1125272025110.1016/j.engappai.2025.112527
9Complex T-spherical fuzzy Yager weighted aggregation operators for prioritizing urban planning strategies: a case study from ChennaiComputational and Applied Mathematics44(6), 2892025110.1007/s40314-025-03289-4
10Optimize the Segregation of Healthcare Waste in Delhi Using Scaled q-Rung Orthopair Fuzzy Sets and Sugeno-Weber OperatorsFuzzy Decision-Making Algorithms (Book Chapter)-2026-Forthcoming
11Water resource management optimization model for decision analytics using complex q-rung picture fuzzy information and yager power operatorsEnvironment, Development and Sustainability1-692026-10.1007/s10668-025-06123-9

✅ Total citations: 120 | h-index: 6 | i10-index: 4 (2024–2026)

✨ Research Highlights – Detailed Explanations

1. ♻️ Solid Waste Segregation using AI & Frank Aggregation (2024) 30 citations

Problem: Urban areas struggle with selecting optimal AI-powered waste segregation technologies under uncertain criteria.
Method: Novel complex q-rung picture fuzzy Frank aggregation operators were developed to handle vagueness in performance metrics (cost, efficiency, environmental impact).
Outcome: A full MCDM framework validated in a smart city case study ranked sensor-based sorting as the most sustainable technology.

Waste Segregation

2. ⚡ Power & Energy Transformation (2025) 25 citations

Problem: Energy transition decisions involve interdependent criteria like renewable potential, grid stability, and investment risk.
Method: Generalized power prioritized Yager aggregation operators under complex q-rung picture fuzzy environment captured criterion interdependencies.
Outcome: Applied to a real South Indian energy project, the model identified solar-wind hybrid systems as the most sustainable option.

Energy

3. 🏙️ Sustainable Urban Innovation & Resilience (2025) 21 citations

Problem: Assessing urban resilience requires handling AI-driven indicators alongside traditional infrastructure metrics.
Method: Pioneered an expologarithmic aggregation framework within q-rung orthopair fuzzy sets.
Outcome: Chennai smart city case study prioritized flood-resilient infrastructure projects effectively.

Smart City

4. 💊 Adverse Drug Reaction Analysis (2024) 20 citations

Problem: Pharmacovigilance needs to balance drug efficacy with adverse reaction severity using vague patient data.
Method: Aczel–Alsina prioritized aggregation operators under complex q-rung picture fuzzy environment.
Outcome: Validated on 500+ ADR reports, the model identified the safest antihypertensive combination with high reliability.

Drug Safety

5. 🌿 Greenhouse Gas Reduction Strategies (2025) 4 citations

Problem: Selecting optimal GHG mitigation policies under uncertainty in cost, feasibility, and long-term impact.
Method: Sugeno-Weber aggregation operators integrated with complex q-rung picture fuzzy information.
Outcome: Tamil Nadu industrial zone case study prioritized carbon capture and renewable energy incentives as top strategies.

GHG Reduction

6. 🗑️ Waste Management: Delhi Case Study (2025) 1 citation

Method: Complex T-Spherical Fuzzy Yager prioritized weighted aggregation operators.
Outcome: Prioritized waste management strategies specifically for Delhi's urban challenges, ranking composting and recycling highest.

Delhi Waste

7. 🏗️ Urban Planning: Chennai Case Study (2025) 1 citation

Method: Complex T-spherical fuzzy Yager weighted aggregation operators.
Outcome: Prioritized urban planning strategies for Chennai, focusing on sustainable infrastructure development.

Chennai Planning

8. 🏥 Healthcare Waste Segregation: Delhi (2026) Forthcoming

Method: Scaled q-Rung Orthopair Fuzzy Sets with Sugeno-Weber operators.
Outcome: Optimizes segregation of biomedical waste in Delhi's hospitals, reducing infection risks and improving disposal efficiency.

Healthcare Waste

9. 💧 Water Resource Management (2026) Forthcoming

Method: Complex q-rung picture fuzzy Yager power operators.
Outcome: Optimizes water resource allocation under uncertainty, balancing agricultural, industrial, and domestic needs.

Water Management

🤝 Research Network & Co-authors

Fathima Banu
Fathima Banu
Researcher · Fuzzy MCDM

📌 Frequent Co-authors & Research Partners

Dr. S. Petchimuthu
University College of Engineering Nagercoil, Konam, India
Dr. Tapan Senapati
Southwest University, China 🌏 International
Dr. B. Palpandi
Anna University, Tiruchirappalli, India
Dr. Hüseyin Kamacı
Yozgat Bozok University, Turkey 🌏 International
Dr. Meena Somasundaram
KPR Institute of Engineering and Technology, India
Dr. Abrar Hussain
Shenzhen University, China 🌏 International
Prof. Dr. Muhammad Riaz
University of the Punjab, Pakistan 🌏 International
Dr. Dragan Pamucar
University of Belgrade, Serbia 🌏 International
C. Mahendiran
University College of Engineering Nagercoil, India
T. Premala
Good Shepherd College of Engineering and Technology, India
S. Solaiappan
Anna University Regional Campus Madurai, India
J. Vernold Vivin
Anna University Regional Campus Coimbatore, India
S. Thiruvazhimarba Pillai
Loyola Institute of Technology and Science, Thovalai, Tamil Nadu

🌍 International Collaboration Footprint

Countries: 🇮🇳 India · 🇹🇷 Turkey · 🇨🇳 China · 🇵🇰 Pakistan · 🇷🇸 Serbia

🌍 International Partners
5 Countries
📄 Joint Publications
11
👥 Active Co‑authors
13+

📬 Connect

✉️ fathimams1999@gmail.com 🎓 Google Scholar 📘 ResearchGate 🔗 LinkedIn 🆔 ORCID