Fuzzy systems in medicine.
Klaus-Peter Adlassnig · European Society for Fuzzy Logic and Technology Conference · 2001
allows the user to define rules on contraindication alerts, drug interaction warnings, diagnostic and In the near future, every medical intreatment recommendations, etc. formation system wiil be equipped with a function that provides knowledge-based decision support. Data-driven knowledgebased decision support consists, in the first place, of a medical data-to-concept conversion step and, second, a knowledge base containing medical relationships from medical concepts to decisions. Both, concept and relationship modeling medicine can be done by using fuzzy sets, fuzzy relationships, and fuzzy decision making algorithms to conserve the inherent fuzziness of medical concepts and medical relationships. Examples of the application of type-n hzzy sets to model medical concepts and of fuzzy logic, fuzzy decision graphs, fuzzy control, and fuzzy automata in medical diagnosis, interpretative analysis of test results, device control, and data monitoring are given in the present study.