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Issue:InterCriteria Analysis for selection of specific growth rate models of batch cultivation by Saccharomyces cerevisiae yeast for ethanol production

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Title of paper: InterCriteria Analysis for selection of specific growth rate models of batch cultivation by Saccharomyces cerevisiae yeast for ethanol production
Mitko Petrov
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. George Bonchev St., Sofia, Bulgaria
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 25 (2019), Number 2, pages 77–87
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Abstract: In this study we have developed an application of a new method for multicriteria decision analysis namely InterCriteria Analysis (ICA). The method is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. The ICA has been used to evaluate and select specific growth rate models for cultivation by the Saccharomyces cerevisiae yeast. 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 ICA for the specific growth rate of glucose has shown that there are many correlation connections between the investigated models. The models have been reduced only to Monod and Mink. Each of the two models can be used for modelling
Keywords: Saccharomyces cerevisiae, Intuitionistic fuzzy sets, InterCriteria Analysis, Growth rate models, Index matrix, Intuitionistic fuzzy pairs.
AMS Classification: 03E72, 93A30
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