Data Envelopment Analyses
Alireza Hajihosseini; Fatemeh Hekmatpour
Abstract
Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate ...
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Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate environment. The purpose of this paper is to introduce a new approach to measuring congestion in data envelopment analysis so that the data are interval. In this paper, congestion recognition models are used based on comparing inputs with common weights and linear programming intervals and introduced for units with congestion, interval congestion. The proposed method is illustrated for interval data with examples
Linear Optimization
Mehdi Allahdadi; Hasan Mishmast Nehi
Abstract
In this paper, solution space of interval linear programming (ILP) models that is a NP-hard problem, has been considered. In all of the solving methods of the ILP, feasibility condition has been only considered. Best-worst case (BWC) is one of the methods for solving the ILP models. Some of the solutions ...
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In this paper, solution space of interval linear programming (ILP) models that is a NP-hard problem, has been considered. In all of the solving methods of the ILP, feasibility condition has been only considered. Best-worst case (BWC) is one of the methods for solving the ILP models. Some of the solutions obtained by the BWC may result in an infeasible space. To guarantee that solution is completely feasible, improved two-step method (ITSM) is proposed. By using a new approach, we introduce a space for solving ILP models in which by two tests, feasibility and optimality of the obtained space has been guaranteed.