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Issue:Application of the intercriteria analysis for selection of growth rate models for cultivation of strain Kluyveromyces marxianus var. lactis MC 5

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Title of paper: Application of the intercriteria analysis for selection of growth rate models for cultivation of strain Kluyveromyces marxianus var. lactis MC 5
Author(s):
Mitko Petrov
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. George Bonchev St., Sofia 1113, Bulgaria
mpetrov@biomed.bas.bg
Tatiana Ilkova
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. George Bonchev St., Sofia 1113, Bulgaria
tanja@biomed.bas.bg
Presented at: 11th International Workshop on Intuitionistic Fuzzy Sets, Banská Bystrica, Slovakia, 30 Oct. 2015
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 21, 2015, Number 5, pages 49—60
Download:  PDF (168  Kb, File info)
Abstract: In this study we have applied a new method named Intercriteria Analysis (ICrA) to evaluation and selection of growth rate models for a batch cultivation of the strain Kluyweromyces marxianus var. lactis MC 5. Different unstructured models (Monod, Mink, Tessier, Aiba, Andrews, Haldane, Luong, Edward and Han-Levenspiel) have been considered in order to explain the cell growth kinetics from the lactose and oxygen. The application of the ICrA for the growth rate from lactose and oxygen has shown that there are many strong correlation connections between the investigation models. the models have been reduced At growth rate from lactose only into two – Monod and Mink, аnd at growth rate from oxygen – into three – Mink, Tessier, and Haldane. In this way the application of the ICrA has permitted us to investigate only the combination of groups of models – Monod for lactose and Mink, Tessier, and Haldane for oxygen, as well as Mink with the same models for oxygen.
Keywords: Intercriteria analysis, Consonance, Growth rate models, Intuitionistic fuzzy sets, Index matrix, Intuitionistic fuzzy pairs.
AMS Classification: 03E72, 93A30, 92C45.
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