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Dempster-Shafer Theory has been extensively employed in the field of information fusion due to its impressive capability to cope with uncertain information. But when it deals with completely conflictive evidences or highly conflictive evidences, the phenomenon of counter intuition will occur. In this paper, shortcomings of the commonly accepted measure of conflict are analyzed and to avoid the wrong...
A kind of H∞ non‐fragile synchronization guaranteed control method is put forward for a class of uncertain time‐varying delay complex network systems with disturbance input. The network under consideration includes unknown but bounded nonlinear coupling functions f(x) and the coupling term and node system with time‐varying delays. The nonlinear vector function f(x) need not be differentiable but should...
In this paper, we study a challenging problem of inferring individuals' role and statuses in a professional social network, which is of central importance in workforce optimization and human capital management. Realizing the natural setting of social nodes associated with dual view information, i.e., The local node characteristics and the global network influence, we present a novel model that explores...
In many practical machine learning systems, the prediction/classification tasks involve the usage of heterogeneous data in semi-supervised settings, where the objective is to maximize the utility of multiple views (usually dual views) information from the data. In this work, we propose a general framework, Dual Uncertainty Minimization Regularization (DUMR), that maximizes the usage of heterogeneous...
Compared with the conventional control strategy of IM. FOC can offer the excellent performance as DC motors. However, the control performance of the resulting linear system depends critically on very accurate coordinate transformations and flux angle estimation. In this paper, an indirect field-oriented induction motor drive with a sliding-mode controller is presented. The design includes rotor speed...
A method of website assessment that joins fuzzy logic with expert system is put forward to solving the uncertain problem in website assessment. In recent years, fuzzy logic technique has been used widespread in modeling of impreciseness, uncertainties and the human thinking process. Assessing a website is not so straightforward because many constraints and standards should be considered during the...
Researchers have done many studies on the low performance of information system development (ISD), requirement uncertainty, user interaction, personal conflict as well as IS performance has become focus. Previous literature has mentioned the importance of the above four, but empirical studies are handful. This paper attempts to summarize the relationships among them through empirical research, providing...
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