We suggest a method for finding the non-dominated points of the production possibility set (PPS) with variable returns to scale (VRS) technology in data envelopment analysis (DEA). We present a multiobjective linear programming (MOLP) problem whose feasible region is the same as the PPS under variable returns to scale for generating non-dominated points. We demonstrate that Pareto solutions o...

Classic linear assignment method is a multi-criteria decision-making approach in which criteria are weighted and each rank assigned to choice. In this study, abandon the requirement of calculating weight use decision attributes prioritizing also be able assign more than one choice, multi-objective programming (MOLP) suggested. The objective function MOLP defined for attribute solved based on ab...

Data envelopment analysis (DEA) and multiple objective linear programming (MOLP) are tools that can be used in management control and planning. Whilst these two types of model are similar in structure, DEA is directed to assessing past performances as part of management control function and MOLP to planning future performance targets. Several equivalence models between the output-oriented DEA a...

Decisions in the real-world contexts are often made in the presence of multiple, conflicting, and incommensurate criteria. Multiobjective programming methods such as multiple objective linear programming MOLP are techniques used to solve such multiple-criteria decision-making MCDM problems. One of the first interactive procedures to solve MOLP is STEMmethod. In this paper we try to improve STEM...

To assess the effectiveness of an anonymisation method with respect to data protection, the disclosure risk associated with the protected data must be evaluated. We consider the scenario where a possible data intruder matches an external database with the entire of confidential data. In order to improve his external database he tries to assign as many correct pairs of records (that is, records ...

The application of fuzzy approach models to forecast has been drawing a lot of attention. This study proposes a fuzzy approach to forecasting using a financial data set. The methodology used is multiple objective linear programming (MOLP). Selecting an individual forecast based upon a single objective may not make the best use of available information for a variety of reasons. Combined forecast...

In this study, we developed a novel multiobjective linear programming (MOLP) strategy based on the noninferior set estimation (NISE) method (Solanki et al., 1993), whereby Pareto solutions for the given set of conflicting objectives and corresponding flux distribution profiles are generated to understand how the internal fluxes are changed in the metabolic system. Furthermore, this MOLP approac...

The utilisation of Moringa oleifera leaves powder (MOLP) to improve the nutritional properties and inhibit lipid oxidation proliferation microorganisms in ground beef during cold storage was examined. effects 0.2, 0.4, 0.6, 0.8% MOLP on (proximate composition, total phenolic flavonoid content), thiobarbituric acid reactive substances (TBARS), microbial physicochemical characteristics (pH value,...

in this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. for finding the efficient points in purposed molp problem, some various methods like lexicography & the weighted sum can be used. so by introducing the molp problem the cost & income efficiencies will be achieved. in the present study, the molp problem ...