International Journal of Man-Machine Studies
The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
Neural network and fuzzy logic applications in C/C++
Neural network and fuzzy logic applications in C/C++
Fuzzy logic: a practical approach
Fuzzy logic: a practical approach
Fuzzy logic for business and industry
Fuzzy logic for business and industry
Fuzzy engineering
Privacy, information technology, and health care
Communications of the ACM
Adaptive control framework study based on fuzzy cognitive map
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Fuzzy qualitative trigonometry
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
K2F - a novel framework for converting fuzzy cognitive maps into rule-based fuzzy inference systems
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Computational & Mathematical Organization Theory
Hybrid approach for context-aware service discovery in healthcare domain
Journal of Computer and System Sciences
A fuzzy cognitive map of the psychosocial determinants of obesity
Applied Soft Computing
Fuzzy Assessment of Health Information System Users' Security Awareness
Journal of Medical Systems
Intelligent Decision Technologies
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Human observation and intuition form the basis of any risk assessment. These features, together with the unique nature of the health care environment, necessitate a different approach to the assessment of risks in a health care institution, as opposed to current approaches and methodologies. Fuzzy logic has shown great potential in dealing with vague information and taking into account human common sense and intuition. The authors propose a cognitive fuzzy-modeling approach to risk assessment in health care institutions. They demonstrated that their approach is especially well-suited to the health care environment, where most of the consequences of risks are difficult to quantify.