Intercriteria Decision Analysis for Choice of Growth Rate Models of Batch Cultivation by Strain Kluyveromyces Marxianus

In this study we have developed an application of a new method for multicriteria decision analysis namely Intercriteria Decision Analysis (ICDA) method. The method is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. The ICDA method gives possibility to compare some criteria or estimated by them objects. The ICDA has been used to evaluate and select growth rate models for cultivation by the strain Kluyweromyces marxianus var. lactis MC 5. Different unstructured models Monod, Mink, Tessier, Moser, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel have been considered in order to explain the cell growth kinetics. The application of the ICDA for the growth rate from lactose and oxygen has shown that there are many correlation connections between the investigation models. The models have been reduced at growth rate from lactose only into tree – Мink, Tessier, and Haldane, and at growth rate from oxygen only into two – Mink, and Haldane. In this way the application of the ICDA has permitted us to investigate only the combination of models Мink, Tessier, and Haldane for lactose and Mink and Haldane for oxygen.