International large-scale assessments (ILSAs) provide several measures as a representation of educational outcomes, the so-called plausible values, which are frequently interpreted ability range students. In this paper, we focus on how information should be incorporated into estimation efficiency student or school performance using data envelopment analysis (DEA). Thus far, previous studies tha...

Abstract The shortest path problem (SPP) is a special network structured linear programming that appears in wide range of applications. Classical SPPs consider only one objective the networks while some or all multiple, conflicting and incommensurate objectives such as optimization cost, profit, time, distance, risk, quality service may arise together real-world These types are known multi-obje...

Today, organizations that wish to carry on the sustainable growing need a robust strategic performance measurement and evaluation system because of changing demands of consumers, reduced product life cycle, competitive and globalised markets. In this study, a new methodology is introduced and proposed for increasing the supplier selection and evaluation quality. The new approach considers both ...

during the last years, the concept of input congestion and technical ineff- ciency in data envelopment analysis (dea), have been investigated by manyresearchers. the motivation of this paper is to present models which obtain thedecreased output value due to input congestion and technical ineciency. more-over, we extend the models to estimate input congestion, technical ineciencyand output red...

profitability as the most important factor in decision-making, has always been considered by stake­holders in the company's profitability. also can be a basis for evaluating the performance of the managers. the ability to predict the profitability can be very useful to help decision-makers. that's why one of the most important issues is the expected profitability. the importance of th...

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle strea...

Supplier evaluation and selection is an important group decision making problem that involves not only quantitative criteria but also qualitative factors incorporating vagueness and imprecision. This paper proposes a novel fuzzy multi-criteria group decision making framework for supplier selection integrating quality function deployment (QFD) and data envelopment analysis (DEA). The proposed me...