In this paper, a notion of information-based complexity is introduced to characterize complexities of plant uncertainty sets in feedback control settings, and to understand relationships between identification and feedback control in dealing with uncertainty. This new complexity measure extends the Kolmogorov entropy to problems involving information acquisition (identification) and processing ...

We investigate the analytical and empirical linkages between cash flow, uncertainty and firms’ capital investment behavior. Our empirical approach constructs measures of ownand market-specific uncertainty from firms’ daily stock returns and S&P 500 index returns along with a CAPM-based risk measure. Our results indicate that even in the presence of important firm-specific variables, uncertainty...

Uncertainty measures can supply new points of view for analyzing data and help us to disclose the substantive characteristics of data sets. Some uncertainty measures for single-valued information systems or single-valued decision systems have been developed. However, there are few studies on the uncertainty measurement for interval-valued information systems or interval-valued decision systems....

The purpose of this paper is uncertainty evaluation in a target differentiation problem. In the problem ultrasonic data fusion is applied using Dezert-Smarandache theory (DSmT). Besides of presenting a scheme to target differentiation using ultrasonic sensors, the paper evaluates DSmT-based fused results in uncertainty point of view. The study obtains pattern of data for targets by a set of two...

Considering Rao et al. (2004) and Di Crescenzo and Longobardi (2009) studies, Misagh et al. (2011) proposed a weighted information which is based on the cumulative entropy called Weighted Cumulative Entropy (WCE). The above-mentioned model is a Shiftdependent Uncertainty Measure. In this paper, we examine some of the properties of WCE and obtain some bounds for that. In order to ...

In this paper, we give Schrödinger-type uncertainty relation using the WignerYanase-Dyson skew information. In addition, we give Schrödinger-type uncertainty relation by use of a two-parameter extended correlation measure. We finally show the further generalization of Schrödinger-type uncertainty relation by use of the metric adjusted correlation measure. These results generalize our previous r...

Uncertainty theory is a branch of axiomatic mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. In this paper, portfolio selection problems in uncertainty environment is solved using uncertainty programming methods. The concept of quadratic entropy is introduced in the model to measure risk of securities. Furthermore, a hybrid intelli...