International Journal of Man-Machine Studies
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Automatic construction of FCMs
Fuzzy Sets and Systems
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Computers and Operations Research
Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Operations Research/Computer Science Interfaces)
Reasoning and unsupervised learning in a fuzzy cognitive map
Information Sciences—Informatics and Computer Science: An International Journal
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps
Applied Soft Computing
Fuzzy cognitive map architectures for medical decision support systems
Applied Soft Computing
Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps
Information Sciences: an International Journal
Application Study in Decision Support with Fuzzy Cognitive Map
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
A fuzzy cognitive map approach for effect-based operations: An illustrative case
Information Sciences: an International Journal
Benchmarking main activation functions in fuzzy cognitive maps
Expert Systems with Applications: An International Journal
Advanced soft computing diagnosis method for tumour grading
Artificial Intelligence in Medicine
Fuzzy decision maps: a generalization of the DEMATEL methods
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A fuzzy cognitive map approach to differential diagnosis of specific language impairment
Artificial Intelligence in Medicine
Contextual fuzzy cognitive map for decision support in geographic information systems
IEEE Transactions on Fuzzy Systems
On causal inference in fuzzy cognitive maps
IEEE Transactions on Fuzzy Systems
Knowledge-Based Systems
Intelligent Decision Technologies
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In this work, the Fuzzy Inference Map approach (also known as Fuzzy Cognitive Map) is investigated to handle with the problem of risk analysis and assessment of pulmonary infections during the patient admission into the hospital. A Fuzzy Inference Mapping is an artificial cognitive structure within which the relations between the elements of a mental landscape can be used to assess the impact of these elements. It has the advantageous features of representing medical knowledge in a symbolic manner, giving system's transparency, interpretability of results and easiness of use by non experts. Fuzzy Cognitive Map (FCM) proved by the literature as an appropriate reasoning tool to explicitly encode the knowledge and experience accumulated on the operation of a complex system. This study presents a first tool for making decisions in medical domain that will help physicians, through the design of the knowledge representation and reasoning using FCM to automate the decision making process in the case of infectious diseases prediction. After drawing the FCM model for pulmonary risk prediction, the Decision Making Trial and Evaluation Laboratory (DEMATEL) method is implemented to analyze the map and outrank the concepts according to their importance for physicians. A number of different scenarios concentrated on the pulmonary infections are examined to demonstrate the application of the proposed methodology and its prediction capabilities. This work proves that FCM can handle efficiently with uncertainty in modeling medical knowledge.