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Supplier selection is a challenging decision that has strategic importance for organizations. Cost is no longer the sole factor in the selection of suppliers, and the complexity of this issue arises from the interplay of several situation-specific criteria (such as total cost, CO2e emissions, development time, lead time) as well as the combinatorial nature of this problem. This paper proposes an approach...
Uplift modeling is a branch of Machine Learning which aims to predict not the class itself, but the difference between the class variable behavior in two groups: treatment and control. Objects in the treatment group have been subject to some action, while objects in the control group have not. By including the control group it is possible to build a model which predicts the causal effect of the action...
Today's Supply Chains (SCs) are global and getting more complex, due to the exigencies of the world economy, making them hard to manage. This is exacerbated by the increasingly frequent occurrence of natural disasters and other high impact disruptions. To stay competitive, companies are therefore seeking ways to better understand the impact of such disruptions to their SCs. In addressing this need,...
In this paper we present a new multifractal approach for modern network traffic modeling. The proposed method is based on a novel construction scheme of conservative multiplicative cascades. We show that the proposed model can faithfully capture some main characteristics (scaling function and moment factor) of multifractal processes. For this new network traffic model we also explicitly derive analytical...
This paper describes a new approach to the modeling of epidemic dynamics with complex networks. The infection spreading considers the links of each ill node and the probability to infect healthy nodes. Moreover, a fitness parameter is used for each node of a network to simulate the individual reaction against an infectious process. The dynamics of infection has been evaluated on different kinds of...
In ground target tracking based on kinematic measurements by airborne radar, several challenges in general strongly deteriorate the performance of any standard tracking filter. The major challenges are imprecise measurements and missed detections, a strong false alarm background, closely-spaced targets, technical and terrain obscuration, and complex target motion. In order to counterbalance such a...
Wavelet is a basis function used in wavelet transformation. The wavelet transformation is a strong tool, and widely used in the signal processing purposes. However, the universality of application of a particular wavelet is still restricted. Here, we have presented a novel wavelet that can be used with better performance than many of the existing wavelet family members. The new wavelet satisfies the...
In this paper, we discuss a parameter-tuning method for an Adaptive Nonlinear Model Predictive Controller(ANMPC). As a control problem of using the nonlinear model predictive control (NMPC), our group has already proposed tracking controller for a nonlinear two-link planar manipulator having two actuators using the Adaptive Nonlinear Model Predictive Controller. This ANMPC uses a time-variant coefficient...
A wide variety of linear/nonlinear adaptive systems in continuous/discrete time can be represented by error models, thus facilitating their analysis. The solution obtained for a given error model can be applied to different systems represented by the error model. This paper presents a methodology for adjusting the parameters of a discrete-time adaptive system represented by a Type 1 Error Model, which...
The paper aims to establish the frequency models and sensitivity analysis of a biological filter in an intensive recirculating aquaculture system when changing the functioning regime of the plant. The starting point is an analytical model of a trickling biofilter, a distributed parameter model identified from experimental data. The software implementation of this model is used as a process emulator,...
In multiagent systems, agents may cooperate in order to achieve their goals. One possible form of cooperation is through coalition formation. Assuming that agents are selfish, or potentially unreliable, they should implement some mechanism to deal with the uncertainty arising from the cooperation. One possibility is the use of the trust notion, which provides a mechanism for modeling and reasoning...
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