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Article FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main pr 
Article FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main p 
Article MATRIXES LEAST SQUARES METHOD AND EXAMPLES OF ITS APPLICATION Abstract: General framework of Least Square Method (LSM) generalization is represented in the paper. Namely, - generalization on vectors and matrixes case of the observation. Also, some principal exa 
Article RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... Abstract: Number of The grouping information problem in its two basic manifestations recovering function, represented by empirical data (observations) and problem of classification (clusterization) a 
Article SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ... Abstract: In the paper the development of operating technique for matrices Euclidean spaces is represented. Particularly, within such development transfer of linear operators’ technique with preser 
Article VECTORS AND MATRIXES IN GROUPING INFORMATION PROBLEM Abstract: Grouping information problem appears in application in two main forms. These are the problem of recovering function, represented by its observations and the problem of classification (clust 
Article VECTORS AND MATRIXES LEAST SQUARES METHOD: FOUNDATION AND APPLICATION ... Abstract: In this paper the application of the least squares method (LSM) has been substantiated. Case of matrix of observations for the arguments and values of the renewable function of the linear r 
Article ‘FEATURE VECTORS’ IN GROUPING INFORMATION PROBLEM IN APPLIED MATHEMATICS: .. Abstract: The grouping information problem manifests itself in two main forms. Namely these are: recovering function, represented by empirical data (observations) and problem of classification (cluste 

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