Showing papers in "Mathematical and Computer Modelling in 2006"

TL;DR: A hybrid model for supporting the vendor selection process in new task situations by the combined use of the multi-criteria decision-making approach and a proposed five-step hybrid process that incorporates the technique of an analytic network process (ANP).

TL;DR: A dynamic optimization problem from economics is presented, a time scales model is constructed, and calculus of variations is applied to derive a solution.

TL;DR: The Quantified SWOT analytical method adopts the concept of Multiple-Attribute Decision Making (MADM), which uses a multi-layer scheme to simplify complicated problems, and thus is able to perform SWOT analysis on several enterprises simultaneously.

TL;DR: The sophistication of MMAS is shown to be effective as it outperforms AS and performs better than any other HDN in the literature for both case studies considered.

TL;DR: A formula is given in which such an integral is obtained as a sum of adequate real Lebesgue integrals as well as the Riemann integrals to obtain the @D-antiderivatives of functions defined on time scales.

TL;DR: A new model of vehicular traffic flow with phase transitions is introduced, coupling together the classical Lighthill-Whitham-Richards equation with the 2x2 system proposed by Aw and Rascle, and the solutions of the Riemann problem are described.

TL;DR: The results show that the Canadian L&H insurance industry operated fairly efficiently during the period examined (the year 1998) and how to achieve efficiency systematically for the insurers involved.

TL;DR: A convergence proof of the Adomian decomposition method applied to the generalized nonlinear Burgers-Huxley equation is presented and the direct symbolic-numeric scheme is shown to be efficient and accurate.

TL;DR: The results clearly demonstrate that the combined effects of network architecture and vessel compliance should be included in future models of angiogenesis if therapy protocols and treatment efficacy are to be adequately assessed.

TL;DR: The experimental results reveal that the SVM model with genetic algorithms (SVMG) results in better predictions than the other methods, and the proposed model is a proper alternative for forecasting system reliability.

TL;DR: Two different algorithms are employed to propose a new calibration process for travel mode choice analysis in a transportation modelling framework and results show both the surpassing of RBFNNs and GRNNs over frequently used FFBPNNs, and the superiority of neural network methods over a conventional statistical model, multivariate linear regression, during mode choice calibrations.

TL;DR: A non-chattering robust sliding mode controller (SMC) and a proportional integral derivative (PID) Controller are separately designed for an active seismic control device considering a multi-degree-of-freedom structural system against earthquakes.

TL;DR: This paper proposes a new solution for the stochastic differential equation of the Malthusian growth model with fractional random growth rate and applies it to the stability analysis of some nonlinear systems (the logistic law of growth, for instance).

TL;DR: The sensitivity analysis of the demand rate, replenishment rate, deterioration factor, and other related parameters shows that the percentage extra total profit is significant when both the collaboration strategy and the deterioration factor are considered.

TL;DR: This paper establishes sufficient conditions for the upper semicontinuity and lower semicont inuity of the solution set mapping S:@L"[email protected]"2->2^X for such parametric implicit vector equilibrium problems.

TL;DR: A unified framework for handling the computation of optimal controls where the description of the governing equations or that of the path constraint is not a limitation and any inherent smoothness present in the optimal system trajectories is harnessed.

TL;DR: The radial basis functions (RBF) method is used for finding the solution of an inverse problem with source control parameter and some comparisons are made with several well-known finite difference schemes.

TL;DR: The objective of this paper is to introduce a fuzzy distance measure for generalized fuzzy numbers (GFN), which computes the fuzzy distance between two generalized fuzzyNumbers and also LR-type fuzzy numbers.

TL;DR: This work reviews a number of the problem formulations, including two-dimensional asymmetric single and multi-assignment problems, the corresponding multi-dimensional versions, and the newer group assignment problems.

TL;DR: A communication-sensitive form of message-passing is proposed that is capable of achieving near-optimal performance using far less communication and is demonstrated to be effective with experiments on simulated data.

TL;DR: When tested on an independent validation set of data, the GRNN models are able to forecast chlorine levels to a high level of accuracy, up to 72 h in advance, and significantly outperforms the MLR model.

TL;DR: Evidence Pre-propagation Importance Sampling (EPIS-BN), an importance sampling algorithm that computes an importance function using two techniques: loopy belief propagation and @e-cutoff heuristic, is described and tested on three large real Bayesian networks.

TL;DR: An integrated production-inventory model from the perspectives of both the manufacturer and the retailer is developed, particularly useful for items that ameliorate and deteriorate at the same time.

TL;DR: Simulations of two different computational methods to simulate pultrusion processes show a good agreement between theory and experiments, compared with experimental data available in the literature.

TL;DR: This paper considers the numerical solution of taxis-diffusion-reaction models and employs splitting techniques in the time discretization to deal with the complex structure of the model and to reduce the amount of computational linear algebra.

TL;DR: This paper considers the impact of random machine breakdowns on the classical Economic Production Quantity model for a product subject to exponential decay and under a no-resumption (NR) inventory control policy to determine the optimal production uptime.

TL;DR: The well known solutions for a Navier-Stokes fluid in the hydrodynamic case appear as the limiting cases of the solutions of this paper.

TL;DR: This investigation deals with the analytic solution for the time-dependent flow of an incompressible third-grade fluid which is under the influence of a magnetic field of variable strength.

TL;DR: Three different data-driven techniques are used to predict chlorine concentrations at two key locations in the Hope Valley water distribution system, located to the north of Adelaide, South Australia, indicating that data- driven techniques are relatively successful in predicting chlorine concentrations in the distribution system.

TL;DR: The tanh method and the sine-cosine method are used for solving the fourth order nonlinear Schrodinger equations with cubic and power law nonlinearities and several exact solutions with distinct structures are formally obtained.