Submission Deadline: 31 May 2025 View: 1576 Submit to Special Issue
Knowledge representation and decision-making modeling, are two pillars in artificial intelligence and knowledge-based systems. In recent decades, a need has arisen for advanced techniques to provide real-time solutions to critical problems in medicine diagnosis and prognosis by integrating models from the rapidly developing field of computational intelligence, multi-attribute group decision-making, and uncertain information. Medical prognosis and diagnosis, that is essential parts of medical knowledge, is inherently influenced by various aspects of uncertainty. Uncertainty is generally a fundamental characteristic attribute of information and affects decision-making in medical problems and is the inseparable nature in medical knowledge like variation of disease patterns and similar symptoms representing many diseases. Extension fuzzy sets and intelligent technologies are prominent tools for handling uncertainty in multi-attribute group decision-making models in medical environment.
This Special Issue aims to invite original research papers and is focused on combination of intelligent technologies, multi-attribute group decision-making methods, and uncertainty representation models for medical diagnosis and prognosis.
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