Document Detail


Fuzzy set theory in medicine.
MedLine Citation:
PMID:  9267588     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Indeed, the complexity of biological systems may force us to alter in radical ways our traditional approaches to the analysis of such systems. Thus, we may have to accept as unavoidable a substantial degree of fuzziness in the description of the behavior of biological systems as well as in their characterization. This fuzziness, distasteful though it may be, is the price we have to pay for the ineffectiveness of precise mathematical techniques in dealing with systems comprising a very large number of interacting elements or involving a large number of variables in their decision trees.
Authors:
F Steimann
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Publication Detail:
Type:  Editorial; Review    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  11     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:  1997 Sep 
Date Detail:
Created Date:  1997-10-16     Completed Date:  1997-10-16     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  1-7     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
Fuzzy Logic*
Humans
Medicine*
Models, Theoretical

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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