Application of fuzzy set theory to biochemical processes--a new model for problem diagnosis

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.