Evidence theory is an effective methodology for modeling and processing uncertainty that
has been widely applied in various fields. In evidence theory, a number of distance …

In this article, we propose a generalized intelligent quality-based approach for fusing
multisource information. The goal of the proposed approach is to fuse the multicomplex …

In real applications of artificial and intelligent decision-making systems, how to represent the
knowledge involved with uncertain information is still an open issue. The negation method …

We study the problem of estimating a large, low-rank matrix corrupted by additive noise of
unknown covariance, assuming one has access to additional side information in the form of …

Signal detection in colored noise with an unknown covariance matrix has a myriad of
applications in diverse scientific/engineering fields. The test statistic is the largest …

This paper investigates the signal detection problem in colored noise with an unknown
covariance matrix. In particular, we focus on detecting a non-random signal by capitalizing …

This paper investigates the signal detection problem in colored noise with an unknown
covariance matrix. In particular, we focus on detecting an unknown non-random signal by …

This paper investigates the signal detection problem in colored noise with an unknown
covariance matrix. To be specific, we consider a scenario in which the number of signal …

In this article, we use the saddlepoint approximation method to compute the cumulative
distribution function of non-central complex Wilks statistic. This approximation does not …

Let () be a random matrix with independent columns each distributed as complex
multivariate Gaussian with zero mean and single-spiked covariance matrix, where is the …