The complex multi-attribute large-group decision-making problems that are based on
interval-valued intuitionistic fuzzy information have become a common topic of research in …

The absolute value equations (AVE) problem is an algebraic problem of solving. So far, most
of the research has focused on methods for solving AVE, but we address the problem itself …

We describe methods for proving upper and lower bounds on infinite-time averages in
deterministic dynamical systems and on stationary expectations in stochastic systems. The …

Data-driven process monitoring approaches like principal component analysis (PCA) have
been widely used in many industrial processes, most of which assume that the data are …

In this article, we accumulate theories and computing procedures to find eigenvalue bounds
for interval matrices. Also, we have pointed out the computational complexity and …

We present a cheap and tight formula for bounding real and imaginary parts of eigenvalues
of real or complex interval matrices. It outperforms the classical formulae not only for the …

We consider the general problem of computing intervals that contain the real eigenvalues of
interval matrices. Given an outer approximation (superset) of the real eigenvalue set of an …

This paper develops the concept of the singular value decomposition (SVD) of a class of
interval matrices. The methodology relies on tighter outer estimations of eigenvalues and …

The planning and execution of real-world robotic tasks largely depends on the ability to
generate feasible motions online in response to changing environment conditions or goals …

In this paper, we introduce interval tensors and present some results about their
eigenvalues, positive definiteness and application in solving multi-linear systems. It is …