The paper presents an approach for belief updating in Timed Influence Nets. Influence Nets provide graphical representation of causal or influencing relationships in complex situations. They are used to model and evaluate courses of actions in certain domains and to compare the performance of actions based on the desired outcome. In Timed Influence Nets, the impact or effect of these actions on...

An image can be considered as a fuzzy subset of plane. Fuzzy entropy measuring the blur in an image is a functional which increases when the sharpness of its argument image decreases. In this paper we consider three parameters such as the intensification parameter t, the fuzzifier h f and crossover point c  .The partially ordered set and lattice theory defined in section 2 strengthens the sele...

In this paper, we describe an approximation technique for divcurl systems based in (L2(Ω)3) where Ω is a domain in R3. We formulate this problem as a general variational problem with different test and trial spaces. The analysis requires the verification of an appropriate inf-sup condition. This results in a very weak formulation where the solution space is (L2(Ω))3 and the data reside in vario...

ranking of companies listed on the exchange represent their status and considered a criterion for investment. also, it increases market's competition, development and efficiency. in this study, the fifty superior companies listed in tehran stock exchange were ranked based on financial ratios (liquidity, operational, leverage and profitability) using fahp- ftopsis hybrid approach during the...

For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This scheme updates the change of measure at every transition using constant or decreasing step-size stochastic approximation. The updates are shown to concentrate asymptotically in a neighborhood of the desired zero varian...

We develop a rounding method based on random walks in polytopes, which leads to improved approximation algorithms and integrality gaps for several assignment problems that arise in resource allocation and scheduling. In particular, it generalizes the work of Shmoys & Tardos on the generalized assignment problem in two different directions, where the machines have hard capacities, and where some...

An image zooming method based on vector quantization approximation for magnifying gray-scale and color image by a factor of 2 is proposed. In our proposed method, the unknown pixel values on the image are interpolated by using a vector quantization codebook based on their local information. In comparison of our method with the locally adaptive zooming algorithm published in [S. Battiato, G. Gal...

An effective approach to decision support in multicriteria decision making (MCDM) problems characterized by three to eight decision criteria is described. The approach is based on approximating the feasible set in the criterion space (or a broader criterion set, which has the same Pareto frontier) and visualization of the Pareto frontier by interactive displaying bi-criterion slices of this set...

A.Y. Bani Hashim1, N.A. Abu Osman2, W.A.B. Wan Abas2, and L. Abdul Latif3 1 Department of Robotics & Automation, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, 76100 Melaka, Malaysia 2 Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia 3 Department of Rehabilitation Medicine, Faculty of Medicine,...

To improve the performance of video compression produced by the previous solution, we propose a region based texture approximation technique. There are situations where the tiny part of the image would vary and transmitting the entire image will not necessary. To overcome such problem, the method splits the video into frames and for each successive frame the method splits the frame into number ...