Debashree Guha Adhya

About

Dr. Guha Adhya has been working on multi-criteria decision making, Data aggregation, and uncertainty handling for the last 13 years. Her research group also worked on a medical decision support system. Her basic degree is in Mathematics and was attached professionally with Mathematics department, IIT Patna as faculty, but with a view to apply her technical knowledge for the benefit of medical treatment, she has joined the School of Medical Science & Technology, IIT Kharagpur. Currently she is also working on predictive model building using machine learning and aggregation operators.

Employment

• IIT Kharagpur Associate Professor
  2019 - 2033

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (41)

• Bonferroni Mean Pre-aggregation Operator Assisted Dynamic Fuzzy Histogram Equalization for Retinal Vascular Segmentation
  IEEE Journal of Biomedical and Health Informatics 2026 DOI: 10.1109/JBHI.2025.3615462
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• MULTIMOORA-Sort: A multi-criteria sorting framework integrating criteria interactions, explanations, and preference disaggregation
  Computers & Industrial Engineering 2026 DOI: 10.1016/j.cie.2025.111598
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• Ranking Feature Importance Objectives for Explainable Classification
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3657343
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• Exploring gallbladder cancer prognosis using machine learning and explainable AI
  Discover Computing 2026 DOI: 10.1007/s10791-025-09893-8
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• AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients
  Scientific Reports 2025 DOI: 10.1038/s41598-025-07406-7
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• Classification of epileptic EEG signals with the utilization of Bonferroni mean based fuzzy pattern tree
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2023.122424
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• Improved Bonferroni mean operator to apprehend graph based data interconnections with application to the Hacker Attack system
  Information Sciences 2022 DOI: 10.1016/j.ins.2022.10.085
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• The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection
  Information Fusion 2022 DOI: 10.1016/j.inffus.2021.11.002
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• Generalizing expected values to the case of L *-fuzzy events
  International Journal of General Systems 2021 DOI: 10.1080/03081079.2020.1870459
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• Generalization and extension of partitioned Bonferroni mean operator to model optional prerequisites
  International Journal of Intelligent Systems 2020 DOI: 10.1002/int.22229
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