A System for Analyzing and Processing Data on the Quantitative and Qualitative Characteristics of University Staff Based on the Apparatus of Soft Computing
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Publishing House Education and Science s.r.o.
Abstract
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Models and algorithms for optimizing the description, identification of non-stationary objects, analysis and synthesis of tasks of intelligent personnel management systems have been developed that have the properties inherent in neuro-fuzzy networks and provide a convenient interface for decision-making. Methods for forming fuzzy rule bases, modeling membership functions and linguistic terms, synthesizing components of neuro-fuzzy networks are proposed.
Keywords
data mining, data processing, fuzzy inference, neural network, fuzzy rules, linguistic terms, identification