To support different QoS requirements of heterogeneous and bursty traffic, Weighted Minmax algorithm (WMinmax) is proposed in this paper to efficiently and dynamically allocate network resources. In WMinmax, heterogeneous and regulated traffic are grouped into several classes according to their negotiated QoS parameters. For different classes, resources are allocated in proportion to their corr...

In this paper, we report the results of Marathi (Language spoken in the state of Maharashtra, India) spoken digit recognition using General Fuzzy Min-Max Neural Network (GFMM NN)[1] and Modified General Fuzzy MinMax Neural Network (MGFMM NN), which is obtained by modifying the transfer function of output layer of GFMM NN.

We present a new version of first order necessary optimality conditions for a static minmax problem with inequality constraints in the parametric constraint case. These conditions, after some modification, turn out to characterize strict local minimizers of order one for the given problem.

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This paper deals with a general combinatorial optimization problem in which closed intervals and fuzzy intervals model uncertain element weights. The notion of a deviation interval is introduced, which allows us to characterize the optimality and the robustness of solutions and elements. The problem of computing deviation intervals is addressed and some new complexity results in this field are ...