Scientific FRIS

Attribute Selection Based on FRiS-Compactness

Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative measure of similarity considering a competitive situation. FRiS-function allows constructing new effective algorithms for various Data Mining tasks solving. In particular, it enables to obtain quantitative estimation of c...

ATTRIBUTE SELECTION THROUGH DESCISION RULES CONSTRACTION ( algorithm FRiS - GRAD )

This paper presents a new algorithm FRiS-GRAD of simultaneous informative attributes selection and decision rule construction. This algorithm is based on Function of Rival Similarity (FRiS-function) measuring similarity of objects with standards of rival patterns. Standards or representatives are the objects of training dataset which are the most similar to all other objects of their patterns. ...

LP problems constrained with D-FRIs

In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Dombi family of t-norms is considered as fuzzy composition. Dombi family of t-norms includes a parametric family of continuous strict t-norms, whose members are increasing functions of ...

Scientific Lectures

Оценка эффективности метода параллельной реализации процесса кластеризации электронных документов на основе алгоритма FRiS-Cluster (Evaluating the Effectiveness of the Method of the Parallel Implementation of the Process of Clustering Text Documents on the Basis of the Algorithm FRiS-Cluster)