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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
|
| pubmed:dateCreated |
1991-10-9
|
| pubmed:abstractText |
Fuzzy set theory provides a helpful basis for study of model building in biochemical processes. A new approach to the field of problem diagnosis, based on fuzzy set theory, has been devised. This paper describes a practical diagnostic model for the problem of contamination in an industrial antibiotic production process. The results of theoretical analysis and on-site testing show that this approach can also be used as a prototype for modeling similar diagnostic problems.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:issn |
1042-749X
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
5
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
113-22
|
| pubmed:dateRevised |
2003-11-14
|
| pubmed:meshHeading | |
| pubmed:year |
1989
|
| pubmed:articleTitle |
Application of fuzzy set theory to biochemical processes--a new model for problem diagnosis.
|
| pubmed:affiliation |
Institute of Industrial Process Control, Zhejiang University, Hangzhou.
|
| pubmed:publicationType |
Journal Article
|