In the increasingly complex electromagnetic environment, a variety of new signal types are appearing; however, existing classification (ESC) models cannot handle types. this context, emergence class-incremental learning aims to incrementally update model as categories emerge. paper, an framework based on class exemplar selection and multi-objective linear programming classifier (CES-MOLPC) is p...

In the present paper we present a new method for solving a class of single stage single constraints linear fractional programming (LFP) problem. The proposed method is based on transformation the objective value and the constraints also. After reducing the fractional program in to equivalent linear program with the help of transformation technique, after that we apply Simplex method to find obj...

In this paper, three criteria scheduling problem of n jobs on a single machine is considered. Each these to be processed without interruption and becomes available for processing at time zero. The minimize objectives simultaneously, which are the completion time, maximum tardiness, earliness. Here, we develop fuzzy multi-objective linear programming (FMOLP) model solving in environment by using...

The purpose of this paper is to develop a new two-stage method for fuzzy multi-objective linear program and apply to engineering project portfolio selection. In the fuzzy multi-objective linear program, all the objective coefficients, technological coefficients and resources are trapezoidal fuzzy numbers (TrFNs). An order relationship for TrFNs is introduced by using the interval expectation of...