Pythagorean fuzzy set (PFS) is a significant soft computing tool for tackling embedded fuzziness in decision-making. Many methods have been studied to facilitate the application of PFS modeling practical problems, among which concept correlation coefficient very important. This article proposes some novel between PFSs via three characteristic parameters by incorporating ideas deviation, variance, and covariance. These evaluate magnitude relationship, show potency PFSs, also indicate whether...

Entity resolution (ER) aims to identify data records referring the same real-world entity. Due heterogeneity of entity attributes and diversity similarity measures, one main challenge ER is how select appropriate measures for different attributes. Previous methods usually employ heuristic selection algorithms, which are highly specialized specific problems hard be generalized other situations. Furthermore, previous studies perform learning independently, often result in error propagation...

This work focuses on the stability analysis of positive Takagi-Sugeno (T-S) fuzzy descriptor systems with time-varying delays. An equivalent augmented system is constructed to investigate positivity and T-S time-delay systems. By using this transformed system, a necessary sufficient condition first derived for systems, which can be verified by linear programming (LP). Then, based put forward asymptotic bounded unbounded Finally, several examples are provided show effectiveness obtained results.

With the continuous advancement of economy and technology, number cars continues to increase, traffic congestion problem on some key roads is becoming increasingly serious. This paper proposes a new vehicle information feature map (VIFM) method multi-branch convolutional neural network (MBCNN) model applies it detection based camera image data. The aim this study build deep learning with images as input results output. It aims provide for automatic congestion. learning-based in article can...

This paper considers the state estimation problem for a class of discrete-time systems with generalized Lipschitz nonlinear dynamics. Under assumption that system nonlinearities satisfy quadratically inner-boundedness condition, we design both full-order observer and reduced-order system. Sufficient conditions ensuring existence observers as well such are established formulated in terms linear matrix inequality (LMI). Compared some existing results, remove one-sided restrict extend classical...

This paper investigates stability and stabilization of positive switched systems under asynchronous switching, which means that the switching controller has a delay to system mode. First, two sufficient conditions for autonomous are established. The first one is obtained by using linear copositive Lyapunov function incorporated with programming method, allows increase during running time active second only based on programming. Then, combining results, state-feedback non-autonomous solved an...

This paper considers the robust stability of linear discrete-time systems with nonlinear perturbations and interval time-varying delay in state. By using a finite sum inequality approach, new delay-range-dependent criteria are developed terms matrix inequalities (LMIs). It is shown that proposed can provide less conservative results than some existing ones. A numerical example included to demonstrate effectiveness approach.

This paper is considered with the observer-based control for a general class of nonlinear systems that satisfy one-sided Lipschitz condition. The system under consideration encompasses classical as special case and has inherent advantages respect to conservativeness. For such system, we study output feedback problem by constructing full-order observer. Sufficient conditions ensure existence controller are established in terms linear matrix inequalities (LMIs). Finally, numerical example...

This paper considers the issue of unknown input estimation for a class uncertain switched linear systems by designing multiple-mode observer. Under average dwell time (ADT), observer is proposed to estimate states system even if it subjects inputs, where gain matrices are also obtained solving matrix inequality (LMI). A switching signal designed guarantee exponential stability error dynamics. Next, an approach differential numerical solution provided obtain approximate value output...

This paper presents stochastic stability and boundedness to certain second-order nonlinear neutral differential equations. The equation is weakened a system of first-order equations used together with quadratic function obtain perfect Lyapunov-Krasovskii functional. functional adapted applied criteria on the functions ensure novel results asymptotic zero solution. Furthermore, when forcing term nonzero, fresh uniform solutions are obtained. this original, new, essentially improving,...

Nowadays, mobile technologies have changed the patient routine health care and management. With a large amount of applications developed, massive valuable data are possibly collected with smart phone in hand. Facial color images recently proved to be available effective for condition diagnosis both modern medicine ancient perspectives. One significant issue facial system is management, which its primary procedure obtain reliable device-independent wild. The solution known as utilizing...

The authors investigate input‐to‐state stabilisation for a general non‐linear system with input delay and disturbance. With an infinite‐dimensional backstepping transformation, the original is transferred to target system. A delay‐compensating disturbances attenuating control law designed this kind of systems. Stability first proved by constructing Lyapunov functional. Equivalence norms deduced. Further, under drawn.

Crowdsourcing is used to obtain needed ideas and content by soliciting data from a large group of people, especially an online community. However, the generated people duplicated. As learn crowd intention based on data, we need do some entity resolution works. Previous works focus matching merging, but remain far perfect in crowdsourcing area. In our study, propose generic way measuring representing data. The main contribution study twofold: 1. We graph structure that represents intention....