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Published on: August 12, 2019
Intuitionistic fuzzy cognitive maps for medical decision making
Dimitris K Iakovidis1, Elpiniki Papageorgiou
1Department of Informatics and Computer Technology, Technological Educational Institute of Lamia, Lamia 35100, Greece. dimitris.iakovidis@ieee.org
Summary
This study introduces an intuitionistic fuzzy cognitive map (iFCM) to improve medical decision-making by incorporating expert hesitancy and handling incomplete data. The novel iFCM model demonstrated superior performance in pneumonia severity assessment compared to traditional fuzzy cognitive maps.
Area of Science:
- Artificial Intelligence in Medicine
- Computational Intelligence
- Medical Informatics
Background:
- Medical decision-making integrates analytical reasoning and intuition, often with uncertain or incomplete information.
- Existing models like fuzzy cognitive maps (FCMs) face challenges with expert hesitancy and missing data.
Purpose of the Study:
- To propose a novel approach, the intuitionistic fuzzy cognitive map (iFCM), for modeling medical decision-making.
- To enhance existing FCMs by incorporating expert hesitancy and improving robustness to missing data.
Main Methods:
- Developed the intuitionistic fuzzy cognitive map (iFCM) model, extending fuzzy cognitive maps (FCMs).
- Incorporated expert hesitancy in causal relation determination.
- Modified the model for reduced sensitivity to missing input data.
- Constructed an iFCM for pneumonia severity assessment using 34 concepts (patient data, symptoms, measurements).
Main Results:
- The iFCM model demonstrated a comparative advantage over the standard FCM model.
- Decisions made using the iFCM showed better alignment with expert judgments.
- The iFCM model effectively assessed pneumonia severity.
Conclusions:
- The proposed intuitionistic fuzzy cognitive map (iFCM) is a promising approach for medical decision-making.
- The iFCM model enhances accuracy and reliability, especially with uncertain or incomplete data.
- The approach is generalizable to various medical decision-making tasks.
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