title: Application of fuzzy set theory to biochemical processes--a new model for problem diagnosis.
abstract: 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.
authors.affiliation: Institute of Industrial Process Control, Zhejiang University, Hangzhou.
authors.forename: C S
authors.initials: CS
authors.lastname: Fu
authors.forename: S Q
authors.initials: SQ
authors.lastname: Wang
authors.forename: J H
authors.initials: JH
authors.lastname: Wang
mesh_terms: D000900:Anti-Bacterial Agents / Q000096:biosynthesis*; D005285:Fermentation; D007218:Industrial Microbiology / Q000592:standards*; D008954:Models, Biological
chemical_list: D000900:Anti-Bacterial Agents