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Information × Registration Number 0212U004796, 0111U001105 , R & D reports Title Hybrid fuzzy models based identification of multifactor dependences popup.stage_title Head Shtovba Serhiy Dmytrovych, Registration Date 26-01-2012 Organization Vinnitsa National Technical University popup.description2 Object of the research is the multifactor dependences in engineering, economical, medical, and other fields that are available in form of expert-experimental data. Goal of the research is increasing of quality multifactor dependence identification under uncertainty due to a creation of new method for hybrid fuzzy models extraction from expert-experimental data. Methods of the research are systems approach, mathematic modeling, fuzzy sets theory, theory of identification, optimization techniques, and machine learning. Result of the research is method for quality assessment of fuzzy knowledge bases that are produced by identification of multifactor dependences. The method consists of interconnected principles, partial criteria, and models for fuzzy knowledge base quality assessment and also multi-criteria identification problem states and solving algorithms for producing adequate, transparent, compact, and interpretable fuzzy knowledge base. The method is suitable for identification of dependence with continuous, discrete, and fuzzy output. Application area is various R&D organizations, industrial enterprises, medical institutions, financial groups, military and governmental structures, which are interested in generalization of their observations under uncertainty and extraction the adequate, compact and understandable mathematical models of complex multi-factor dependences. Product Description popup.authors Биков Микола Максимович Кисса Олександр Володимирович Козачко Олексій Миколайович Мазуренко Віктор Володимирович Савінова Наталія Геннадіївна Савчук Дмитро Анатолійович Свірська Ніна Олегівна Штовба Олена Валеріївна Штовба Сергій Дмитрович popup.nrat_date 2020-04-02 Close