The zero-sum matrix game is one of the most classic game models, and it is widely used in many scientific and engineering fields. In the real world, due to the complexity of the decision-making environment, sometimes the payoffs received by players may be inexact or uncertain, which requires that the model of matrix games has the ability to represent and deal with imprecise payoffs. To meet suc...

The Dempster Shafer theory of evidence is developed here in a very general setting First its symbolic or algebraic part is discussed as a body of arguments which contains an allocation of support and an allowment of possibility for each hypothesis It is shown how such bodies of arguments arise in the theory of hints and in assumption based reasoning in logic A rule of combination of bodies of a...

The basic idea behind information algebras is that information comes in pieces, each referring to a certain question, that these pieces can be combined or aggregated and that the part relating to a given question can be extracted. This algebraic structure can be given different forms. Questions were originally represented by subsets of variables. Pieces of information were then represented by v...

Efficient modeling of uncertain information in real world is still an open issue. Dempster-Shafer evidence theory is one of the most commonly used methods. However, the Dempster-Shafer evidence theory has the assumption that the hypothesis in the framework of discernment is exclusive of each other. This condition can be violated in real applications, especially in linguistic decision making sin...

The latest developments in Markov models’ theory and their corresponding computational techniques have opened new rooms for image and signal modeling. In particular, the use of Dempster–Shafer theory of evidence within Markov models has brought some keys to several challenging difficulties that the conventional hidden Markov models cannot handle. These difficulties are concerned mainly with two...

the main purpose of this paper is to consider adomian's decomposition method in non-linear volterra integro-differential equations. the advantages of this method, compared with the recent numerical techniques (in particular the implicitly linear collocation methods) , and the convergence of adomian's method applied to such nonlinear integro-differential equations are discussed. finall...

we consider a new type of integrable coupled nonlinear schrodinger (cnls)equations proposed by our self [submitted to phys. plasmas (2011)]. the explicitform of soliton solutions are derived using the hirota's bilinear method.we show that the parameters in the cnls equations only determine the regionsfor the existence of bright and dark soliton solutions. finally, throughthe linear stabili...

Glycoscience—the study of the complex carbohydrates on the surface of proteins and lipids—has long been the neglected stepchild of molecular biology. Although genomics, proteomics and now systems biology have become hot topics of biomedical research, attracting both researchers and funding, glycoscience has played a rather minor role. Once of little interest to understanding biology on a larger...

In this paper we propose a new approach to short-time speaker dependent word recognition based on Dempster-Shafer theory using Linear Predictive Coding (LPC) coefficients. For this we used a database of ten pre-determined signals and one-incoming signal, these signals are generated from ten different words of ten-different persons by using LPC techniques. Now by measuring similarity between inc...