Geometric programming is efficient tool for solving a variety of nonlinear optimizationproblems. Geometric programming is generalized for solving engineering design. However,Now Geometric programming is powerful tool for optimization problems where decisionvariables have exponential form.The geometric programming method has been applied with known parameters. However,the observed values of the ...

This paper deals with the problem of merging units interval data. There are two important problems in units. Estimation inherited inputs/outputs merged unit from is first while identification least and most achievable efficiency targets second one. In imprecise or ambiguous data framework, inverse DEA concept linear programming models could be employed to solve problem, respectively. To identif...

The theory of imprecise Markov chains has achieved significant progress in recent years. Its applicability, however, is still very much limited, due large part to the lack efficient computational methods for calculating higher dimensional models. high complexity shows itself especially calculation version Kolmogorov backward equation.The goal this chapter provide a new, more approach solving eq...

Abstract It is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (CC) problem. For this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional chance constrained programming is provided and then the process of defuzzification and linearization of the problem is started. A sam...

the selection of best information system (is) project from many competing proposals is a critical business activity which is very helpful to all organizations. while previous is project selection methods are useful but have restricted application because they handle only cases with precise data. indeed, these methods are based on precise data with less emphasis on imprecise data. this paper pro...

The benefits of goal Programming (GP) over linear programming (LP) are mentioned inside the context healthcare industry. Decision-makers ought to provide substantial attention method a GP model. However, long‐ and short‐time period answers no longer be careworn. Answers also require implementations, which can impractical or tough. whole utilization centers is usually recommended in try less...

sohrabi and nalchigar (2010) proposed a new data envelopment analysis (dea) model to identify the most efficient decision-making unit (dmu) in presence of imprecise data. in this paper, it is shown that the proposed model is not able to determine the most efficient dmu and is randomly introduced an efficient dmu. in addition, it is shown that this model determines the most efficient dmu in the ...