Error matrices for the interval predictions
A note on positive definiteness and stability of interval matrices
... 1 Introduction It is well-known that positive definiteness and stability of a given point matrix can be inferred if one knows signs of its eigenvalues. In other word, if all eigenvalues are positive, then the given ...
Bounds on eigenvalues and singular values of interval matrices
... metric matrices appear very often in engineering ...of interval computations, symmetry induces dependencies between the matrix elements, which are hard to deal with, in ...
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k–Semi–Similar Interval–Valued Fuzzy Matrices
... with interval-valued fuzzy matrices (IVFM) that is, matrices whose entries are intervals and all the intervals are subintervals of the interval [0, ...an interval matrix of its lower ...
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k-Pseudo-Similar Interval–Valued Fuzzy Matrices
... k-pseudo-similar interval- valued fuzzy matrices (IVFM) as a generalization of k-pseudo-similar fuzzy matrices and as a special case for k=1, it reduces to pseudo-similar interval – valued ...
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Inverses of k-Regular Interval-Valued Fuzzy Matrices
... with Interval-Valued Fuzzy Matrices (IVFM) that is, matrices whose entries are intervals and all the intervals are subintervals of the interval ...an interval matrix of its lower and ...
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Accuracy of Motor Error Predictions for Different Sensory Signals
... to error prediction in a complex motor ...the error-related negativity ...form predictions about the outcome prior to the availability of knowledge of ...
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3. Application of Interval Valued Fuzzy Matrices in Agriculture Field
... an interval valued fuzzy matrix as an interval matrix of two fuzzy ...an interval valued fuzzy matrix and propose a method to study sanchez’s approach in agriculture field through the geometric mean ...
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A Novel Algorithm to Compute All Vertex- Matrices of an Interval Matrix:
... vertex matrices for nxn interval ...nxn matrices. From the above matrix let's generate all of the vertex matrices, by allowing each uncertain entry of A to vary over the entire ...
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Matrix measure and application to stability of matrices and interval dynamical systems
... of matrices and a positive cone of ma- ...vertex matrices, the sufficient condition becomes also ...an interval dy- namical system is given, and the relationship between the real parts of the ...
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Estimation of Decision Alternatives on the Basis of Interval Pairwise Comparison Matrices
... of interval pairwise comparison judgments of ...calculate interval weights on the basis of interval pairwise comparison matrices (IPCMs), was ...normalized interval weights, and ...
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Medical Diagnosis Based on Interval Valued Fuzzy Number Matrices
... fuzzy matrices to deal with the different complicating aspects of medical ...the interval valued fuzzy number matrices to represent the medical knowledge between the symptoms/diseases and ...
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Subdivision Matrices and Iterated Function Systems for Parametric Interval Bezier Curves
... Index Terms— Subdivision matrices, iterated function systems, interval Bezier curve, CAGD. I. INTRODUCTION Parametric representations are widely used since they allow considerable flexibility for shaping ...
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Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices
... pairwise interval comparison matrices focuses on acceptable consistency by controlling their inconsistency levels to within a certain ...indeterminate interval comparison matrix can be unacceptable ...
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An improved error bound for linear complementarity problems for B matrices
... new error bound for the linear complementarity problem when the matrix involved is a B-matrix is presented, which improves the corresponding result in (Li et ...
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Pairwise comparison matrices and the error-free property of the decision maker
... the error-free property—and the consistency of the pairwise comparison matrix ...of error-free matrix is used to demonstrate that consistency of the PCM is not a sufficient condition of the ...
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Asymptotic expansions of the error for hyper singular integrals with an interval variable
... In , Monegato and Lyness obtained the Euler-Maclaurin expansions of (.) by the Mellin transform, as t = and α < –. The quadrature formulas in [] are not valid for solving hyper-singular integral equa- tions and ...
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Error-Correcting Codes Associated With Generalized Hadamard Matrices Over Groups
... A particularly interesting question is w hether th e linear codes possess an equiv alent cyclic version, as then th e potential exists for b u rst error protection against b u rsts of increasingly long d u ratio ...
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Backward Error Analysis of Factorization Algorithms for Symmetric and Symmetric Triadic Matrices
... Abstract. We consider the LBL T factorization of a symmetric matrix where L is unit lower triangular and B is block diagonal with diagonal blocks of order 1 or 2. This is a generalization of the Cholesky fac- torization, ...
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Assessing the stochastic error of acoustic scattering matrices using linear methods
... The uncertainty in measured scattering matrices is assessed using a linear uncertainty analysis and the results are compared against Monte-Carlo simulations. It is shown that for plane waves, a linear uncertainty ...
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Nonorthogonal Decomposition of Binary Matrices for Bounded-Error Data Compression and Analysis
... If we try five-way clustering taking into account that there are five implanted row groups, K-means is still not able to distinguish these two row groups as separate clusters. The recursion tree for the decomposition of ...
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