Spline Optimization of Soft Connectives in Machine Learning Models
Vyacheslav Kalnitsky,
Valery Vilkov
Abstract:In this study, the problem of limited accuracy of machine learning models using soft logical connectives is investigated. Such connectives have shown their effectiveness in models with fuzzy initial data. On the one hand, the fundamental disadvantage of soft connectives is their non-associativity. On the other hand, the disadvantages of the currently used soft connectives include the loss of monotonicity and the inability to control several factors simultaneously. All these problems have been solved by the aut… Show more
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