Fuzzy Set Theory in Medicine

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2610 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2610 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2610 archive 351 disk0/00/00/25/55 2016-01-15 01:55:23 2021-08-27 17:12:10 2016-01-15 01:55:23 monograph show 2 Adlassnig K.-P. Fuzzy Set Theory in Medicine pub iis_met iis_bio prog_ida Fuzzy set theory has a number of properties that make it suitable for formalizing the uncertain information upon which medical diagnosis and treatment is usually based. Firstly, it allows us to define inexact medical entities as fuzzy sets. Secondly, it provides a linguistic approach with an excellent approximation to texts. Finally, fuzzy logic offers powerful reasoning methods capable of drawing approximate inferences. These facts suggest that fuzzy set theory might be a suitable basis for the development of a computerized diagnosis and treatment-recommendation system. This is borne out by trials performed with the medical expert system CADIAG-2, which uses fuzzy set theory to formalize medical relationships. 1984-06 published CP-84-022 CP-84-022 public collaborative_paper IIASA, Laxenburg, Austria 23 FALSE info:eu-repo/semantics/book